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Biomedical Image Registration [[electronic resource] ] : 5th International Workshop, WBIR 2012, Nashville, TN, USA, July 7-8, 2012, Proceedings / / edited by Benoit Dawant, Gary E Christensen, J. Michael Fitzpatrick, Daniel Rueckert
| Biomedical Image Registration [[electronic resource] ] : 5th International Workshop, WBIR 2012, Nashville, TN, USA, July 7-8, 2012, Proceedings / / edited by Benoit Dawant, Gary E Christensen, J. Michael Fitzpatrick, Daniel Rueckert |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XII, 308 p. 138 illus.) |
| Disciplina | 616.07/54 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Computer science—Mathematics Mathematical statistics Radiology Medicine Image Processing and Computer Vision Pattern Recognition Mathematics of Computing Probability and Statistics in Computer Science Imaging / Radiology Biomedicine, general |
| ISBN | 3-642-31340-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465532603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Bjoern Menze, Mauricio Reyes
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Bjoern Menze, Mauricio Reyes |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 517 p. 233 illus.) |
| Disciplina | 616.8 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Mathematical statistics Health informatics Image Processing and Computer Vision Artificial Intelligence Probability and Statistics in Computer Science Health Informatics |
| ISBN | 3-319-75238-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Dice overlap measures for objects of unknown number: Application to lesion segmentation -- Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials -- Brain Lesion Image Analysis -- Automated Segmentation of Multiple Sclerosis Lesions using Multi-Dimensional Gated Recurrent Units -- Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation -- MARCEL (inter-Modality Ane Registration with CorELation ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection -- Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks -- Overall Survival Time Prediction for High Grade Gliomas based on Sparse Representation Framework -- Traumatic Brain Lesion Quantication based on Mean Diusivity Changes -- Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries -- Sub-Acute & Chronic Ischemic Stroke Lesion MRI Segmentation -- Brain Tumor Segmentation Using an Adversarial Network -- Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma -- Brain Tumor Image Segmentation -- Deep Learning based Multimodal Brain Tumor Diagnosis -- Multimodal Brain Tumor Segmentation using Ensemble of Forest Method -- Pooling-free fully convolutional networks with dense skip connections for semantic segmentation, with application to brain tumor segmentation -- Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks -- 3D Brain Tumor Segmentation through Integrating Multiple 2D FCNNs -- MRI Brain Tumor Segmentation and Patient Survival Prediction using Random Forests and Fully Convolutional Networks -- Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis -- Multimodal Brain Tumor Segmentation Using 3D Convolutional Networks -- A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor -- Dilated Convolutions for Brain Tumor Segmentation in MRI Scans -- Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation -- TPCNN: Two-phase Patch-based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction -- Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge -- Multi-modal PixelNet for Brain Tumor Segmentation -- Brain Tumor Segmentation using Dense Fully Convolutional Neural Network -- Brain Tumor Segmentation in MRI Scans using Deeply-Supervised Neural Networks -- Brain Tumor Segmentation and Parsing on MRIs using Multiresolution Neural Networks -- Brain Tumor Segmentation using Deep Fully Convolutional Neural Networks -- Glioblastoma and Survival Prediction -- MRI Augmentation via Elastic Registration for Brain Lesions Segmentation -- Cascaded V-Net using ROI masks for brain tumor segmentation -- Brain Tumor Segmentation using a 3D FCN with Multi-Scale Loss -- Brain tumor segmentation using a multi-path CNN based method -- 3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences -- Automated Brain Tumor Segmentation on Magnetic Resonance Images (MRIs) and Patient Overall Survival Prediction using Support Vector Machines -- Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation -- Tumor segmentation from multimodal MRI using random forest with superpixel and tensor based feature extraction -- Towards Uncertainty-assisted Brain Tumor Segmentation and Survival Prediction -- Ischemic Stroke Lesion Image Segmentation -- WMH Segmentation Challenge: a Texture-based Classication Approach -- White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning. |
| Record Nr. | UNINA-9910349460103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Bjoern Menze, Mauricio Reyes
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Bjoern Menze, Mauricio Reyes |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 517 p. 233 illus.) |
| Disciplina | 616.8 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Mathematical statistics Health informatics Image Processing and Computer Vision Artificial Intelligence Probability and Statistics in Computer Science Health Informatics |
| ISBN | 3-319-75238-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Dice overlap measures for objects of unknown number: Application to lesion segmentation -- Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials -- Brain Lesion Image Analysis -- Automated Segmentation of Multiple Sclerosis Lesions using Multi-Dimensional Gated Recurrent Units -- Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation -- MARCEL (inter-Modality Ane Registration with CorELation ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection -- Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks -- Overall Survival Time Prediction for High Grade Gliomas based on Sparse Representation Framework -- Traumatic Brain Lesion Quantication based on Mean Diusivity Changes -- Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries -- Sub-Acute & Chronic Ischemic Stroke Lesion MRI Segmentation -- Brain Tumor Segmentation Using an Adversarial Network -- Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma -- Brain Tumor Image Segmentation -- Deep Learning based Multimodal Brain Tumor Diagnosis -- Multimodal Brain Tumor Segmentation using Ensemble of Forest Method -- Pooling-free fully convolutional networks with dense skip connections for semantic segmentation, with application to brain tumor segmentation -- Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks -- 3D Brain Tumor Segmentation through Integrating Multiple 2D FCNNs -- MRI Brain Tumor Segmentation and Patient Survival Prediction using Random Forests and Fully Convolutional Networks -- Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis -- Multimodal Brain Tumor Segmentation Using 3D Convolutional Networks -- A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor -- Dilated Convolutions for Brain Tumor Segmentation in MRI Scans -- Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation -- TPCNN: Two-phase Patch-based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction -- Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge -- Multi-modal PixelNet for Brain Tumor Segmentation -- Brain Tumor Segmentation using Dense Fully Convolutional Neural Network -- Brain Tumor Segmentation in MRI Scans using Deeply-Supervised Neural Networks -- Brain Tumor Segmentation and Parsing on MRIs using Multiresolution Neural Networks -- Brain Tumor Segmentation using Deep Fully Convolutional Neural Networks -- Glioblastoma and Survival Prediction -- MRI Augmentation via Elastic Registration for Brain Lesions Segmentation -- Cascaded V-Net using ROI masks for brain tumor segmentation -- Brain Tumor Segmentation using a 3D FCN with Multi-Scale Loss -- Brain tumor segmentation using a multi-path CNN based method -- 3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences -- Automated Brain Tumor Segmentation on Magnetic Resonance Images (MRIs) and Patient Overall Survival Prediction using Support Vector Machines -- Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation -- Tumor segmentation from multimodal MRI using random forest with superpixel and tensor based feature extraction -- Towards Uncertainty-assisted Brain Tumor Segmentation and Survival Prediction -- Ischemic Stroke Lesion Image Segmentation -- WMH Segmentation Challenge: a Texture-based Classication Approach -- White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning. |
| Record Nr. | UNISA-996465306103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Braverman Readings in Machine Learning. Key Ideas from Inception to Current State [[electronic resource] ] : International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks / / edited by Lev Rozonoer, Boris Mirkin, Ilya Muchnik
| Braverman Readings in Machine Learning. Key Ideas from Inception to Current State [[electronic resource] ] : International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks / / edited by Lev Rozonoer, Boris Mirkin, Ilya Muchnik |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 353 p. 65 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical statistics Data mining Artificial Intelligence Algorithm Analysis and Problem Complexity Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-319-99492-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Potential Functions for Signals and Symbolic Sequences -- Braverman's Spectrum and Matrix Diagonalization versus iK-Means: A Unified Framework for Clustering -- Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning -- Conformal Predictive Distributions with Kernels -- On the Concept of Compositional Complexity -- On the Choice of a Kernel Function in Symmetric Spaces -- Causality Modeling and Statistical Generative Mechanisms -- One-Class Semi-Supervised Learning -- Prediction of Drug Efficiency by Transferring Gene Expression Data from Cell Lines to Cancer Patients -- On One Approach to Robot Motion Planning -- Geometrical Insights for Implicit Generative Modeling -- Deep Learning in the Natural Sciences: Applications to Physics -- From Reinforcement Learning to Deep Reinforcement Learning: An Overview -- A Man of Unlimited Capabilities -- Braverman and His Theory of Disequilibrium Economics -- Misha Braverman: My Mentor and My Model -- List of Braverman's papers published in the "Avtomatika itelemekhanika" journal, Moscow, Russia, and translated into English as "Automation and Remote Control" journal. |
| Record Nr. | UNINA-9910349411403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Braverman Readings in Machine Learning. Key Ideas from Inception to Current State [[electronic resource] ] : International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks / / edited by Lev Rozonoer, Boris Mirkin, Ilya Muchnik
| Braverman Readings in Machine Learning. Key Ideas from Inception to Current State [[electronic resource] ] : International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks / / edited by Lev Rozonoer, Boris Mirkin, Ilya Muchnik |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 353 p. 65 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical statistics Data mining Artificial Intelligence Algorithm Analysis and Problem Complexity Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-319-99492-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Potential Functions for Signals and Symbolic Sequences -- Braverman's Spectrum and Matrix Diagonalization versus iK-Means: A Unified Framework for Clustering -- Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning -- Conformal Predictive Distributions with Kernels -- On the Concept of Compositional Complexity -- On the Choice of a Kernel Function in Symmetric Spaces -- Causality Modeling and Statistical Generative Mechanisms -- One-Class Semi-Supervised Learning -- Prediction of Drug Efficiency by Transferring Gene Expression Data from Cell Lines to Cancer Patients -- On One Approach to Robot Motion Planning -- Geometrical Insights for Implicit Generative Modeling -- Deep Learning in the Natural Sciences: Applications to Physics -- From Reinforcement Learning to Deep Reinforcement Learning: An Overview -- A Man of Unlimited Capabilities -- Braverman and His Theory of Disequilibrium Economics -- Misha Braverman: My Mentor and My Model -- List of Braverman's papers published in the "Avtomatika itelemekhanika" journal, Moscow, Russia, and translated into English as "Automation and Remote Control" journal. |
| Record Nr. | UNISA-996466344903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Broad Learning Through Fusions [[electronic resource] ] : An Application on Social Networks / / by Jiawei Zhang, Philip S. Yu
| Broad Learning Through Fusions [[electronic resource] ] : An Application on Social Networks / / by Jiawei Zhang, Philip S. Yu |
| Autore | Zhang Jiawei |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XV, 419 p. 104 illus., 81 illus. in color.) |
| Disciplina | 006.312 |
| Soggetto topico |
Data mining
Artificial intelligence Data structures (Computer science) Application software Mathematical statistics Data Mining and Knowledge Discovery Artificial Intelligence Data Structures Information Systems Applications (incl. Internet) Probability and Statistics in Computer Science |
| ISBN | 3-030-12528-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Broad Learning Introduction -- 2 Machine Learning Overview -- 3 Social Network Overview -- 4 Supervised Network Alignment -- 5 Unsupervised Network Alignment -- 6 Semi-supervised Network Alignment -- 7 Link Prediction -- 8 Community Detection -- 9 Information Diffusion -- 10 Viral Marketing -- 11 Network Embedding -- 12 Frontier and Future Directions -- References. |
| Record Nr. | UNINA-9910337847903321 |
Zhang Jiawei
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Business Analytics Using R - A Practical Approach [[electronic resource] /] / by Umesh R Hodeghatta, Umesha Nayak
| Business Analytics Using R - A Practical Approach [[electronic resource] /] / by Umesh R Hodeghatta, Umesha Nayak |
| Autore | Hodeghatta Umesh R |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 280 p. 278 illus.) |
| Disciplina | 658.054 |
| Soggetto topico |
Big data
Computer programming Programming languages (Electronic computers) Data mining Information storage and retrieval Mathematical statistics R (Computer program language) Big Data Programming Techniques Programming Languages, Compilers, Interpreters Data Mining and Knowledge Discovery Information Storage and Retrieval Probability and Statistics in Computer Science |
| ISBN | 1-4842-2514-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Overview of business analytics -- Introduction to R -- R for data analysis -- Introduction to descriptive analytics -- Business analytics process and data exploration -- Supervised machine learning : classification -- Unsupervised machine learning -- Simple linear regression -- Multiple linear regression -- Logistic regression -- Big data analysis : introduction and future trends. |
| Record Nr. | UNINA-9910157379203321 |
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Hodeghatta Umesh R
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Business Intelligence [[electronic resource] ] : Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures / / edited by Marie-Aude Aufaure, Esteban Zimányi
| Business Intelligence [[electronic resource] ] : Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures / / edited by Marie-Aude Aufaure, Esteban Zimányi |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (X, 235 p. 83 illus.) |
| Disciplina |
650
658.05 |
| Collana | Lecture Notes in Business Information Processing |
| Soggetto topico |
Information technology
Business—Data processing Application software Database management Information storage and retrieval Computer science—Mathematics Mathematical statistics IT in Business Computer Appl. in Administrative Data Processing Database Management Information Storage and Retrieval Discrete Mathematics in Computer Science Probability and Statistics in Computer Science |
| Soggetto genere / forma | Conference proceedings. |
| ISBN | 3-642-36318-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Managing Complex Multidimensional Data -- An Introduction to Business Process Modeling -- Machine Learning Strategies for Time Series Forecasting -- Knowledge Discovery from Constrained Relational Data: A Tutorial on Markov Logic Networks -- Large Graph Mining: Recent Developments, Challenges and Potential Solutions -- Big Data Analytics on Modern Hardware Architectures: A Technology Survey -- An Introduction to Multicriteria Decision Aid: The PROMETHEE and GAIA Methods -- Knowledge Harvesting for Business Intelligence -- Business Semantics as an Interface between Enterprise Information Management and the Web of Data: A Case Study in the Flemish Public Administration. |
| Record Nr. | UNINA-9910739479903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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CABology: Value of Cloud, Analytics and Big Data Trio Wave [[electronic resource] /] / by Nitin Upadhyay
| CABology: Value of Cloud, Analytics and Big Data Trio Wave [[electronic resource] /] / by Nitin Upadhyay |
| Autore | Upadhyay Nitin |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIX, 151 p. 44 illus. in color.) |
| Disciplina | 004.6782 |
| Soggetto topico |
Big data
Application software Mathematical statistics Big Data Information Systems Applications (incl. Internet) Big Data/Analytics Probability and Statistics in Computer Science |
| ISBN | 981-10-8675-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. A Triology – Evolution and Now -- Chapter 2. CABology – What is in it? -- Chapter 3. CAB Framework – The Fabric -- Chapter 4. CABonomics - The True Value -- Chapter 5. CABevaluation – What is Right for Me? -- Chapter 6 . CABfication – The Explanation -- Chapter 7. CAB Proposition – The Way Forward -- Chapter 8. CAB Implications – The Affairs -- Chapter 9. CAB Control – The Power -- Chapter 10. CAB Success Stories. . |
| Record Nr. | UNINA-9910299302603321 |
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Upadhyay Nitin
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cellular Automata and Discrete Complex Systems [[electronic resource] ] : 23rd IFIP WG 1.5 International Workshop, AUTOMATA 2017, Milan, Italy, June 7-9, 2017, Proceedings / / edited by Alberto Dennunzio, Enrico Formenti, Luca Manzoni, Antonio E. Porreca
| Cellular Automata and Discrete Complex Systems [[electronic resource] ] : 23rd IFIP WG 1.5 International Workshop, AUTOMATA 2017, Milan, Italy, June 7-9, 2017, Proceedings / / edited by Alberto Dennunzio, Enrico Formenti, Luca Manzoni, Antonio E. Porreca |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 201 p. 48 illus.) |
| Disciplina | 511.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Algorithms Computer simulation Computer networks Computer science—Mathematics Mathematical statistics Machine theory Theory of Computation Computer Modelling Computer Communication Networks Probability and Statistics in Computer Science Formal Languages and Automata Theory |
| ISBN | 3-319-58631-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Invited Talks -- Two Dimensional Cellular Automata and Computational Complexity -- Fixed Points in Boolean Networks -- Contents -- Invited Papers -- Strict Asymptotic Nilpotency in Cellular Automata -- 1 Introduction -- 2 Nilpotency on Multidimensional Full Shifts -- 3 Nilpotency from a Subset of Configurations -- 4 Nilpotency on Multidimensional Subshifts -- 4.1 SFTs -- 4.2 Sofics (and Beyond) -- 5 Nilpotency as Uniform Convergence to a Point -- 6 Cellular Automata on Graphs and Groups -- 6.1 What Works on General Groups? -- 7 CA with Very Sparse Spacetime Diagrams -- References -- Regular Papers -- Infinite Two-Dimensional Strong Prefix Codes: Characterization and Properties -- 1 Introduction -- 2 Preliminaries -- 3 Two-Dimensional Codes -- 4 Infinite Strong Prefix Codes -- 5 Measure of Two-Dimensional Languages and Codes -- References -- Restricted Binary Strings and Generalized Fibonacci Numbers -- 1 Introduction -- 2 A Simple Bijection and Some Applications -- 3 Number of 1's in the Strings of Fn(k) -- 4 Conclusion -- References -- Von Neumann Regular Cellular Automata -- 1 Introduction -- 2 Regular Cellular Automata -- 3 Regular Finite Cellular Automata -- 4 Regular Linear Cellular Automata -- References -- Enumerative Results on the Schröder Pattern Poset -- 1 Introduction -- 2 The Covering Relation in the Schröder Pattern Poset -- 3 Enumerative Results on Pattern Avoiding Schröder Paths -- 3.1 The Pattern (UD)k -- 3.2 The Pattern Uk Dk -- 3.3 The Pattern H2 k -- 3.4 The Pattern UH2 k-1D -- 3.5 The Pattern H2 k-1UD -- 4 Suggestions for Further Work -- References -- Canonical Form of Gray Codes in N-cubes -- 1 Introduction -- 2 Canonical Form of Gray Codes -- 2.1 Isomorphic Cycles -- 2.2 Preliminary Tools -- 2.3 Canonical Form -- 2.4 Examples of Application of C.
2.5 Discussion over the Interest of the Canonical Form -- 3 Balanced Gray Codes Generation Algorithm -- 4 Application -- 4.1 Validation of the Canonical Form and the Generation Algorithm -- 4.2 Application of the Balanced Gray Code Generation Algorithm -- 5 Conclusion -- References -- Equicontinuity and Sensitivity of Nondeterministic Cellular Automata -- 1 Introduction -- 2 Preliminaries -- 2.1 Cellular Automata -- 2.2 Nondeterministic Cellular Automata -- 3 Equicontinuity -- 4 Sensitivity -- 5 Transitivity -- 6 Conclusions -- References -- Diploid Cellular Automata: First Experiments on the Random Mixtures of Two Elementary Rules -- 1 Introduction -- 2 Definitions -- 3 First Steps in the Space of Diploids -- 3.1 Experimental Protocol -- 3.2 Mixtures with the Null Rule (ECA 0) -- 3.3 Mixtures with the Identity Rule: -asynchronous ECA -- 3.4 Mixtures with the Inversion Rule (ECA 51) -- 4 Discussion -- References -- On the Computational Complexity of the Freezing Non-strict Majority Automata -- 1 Introduction -- 2 Preliminaries -- 3 A Characterization of Stable Sets -- 4 The Algorithm -- 5 Conclusion -- References -- Distortion in One-Head Machines and Cellular Automata -- 1 Introduction -- 2 Definitions -- 2.1 Subshifts and Cellular Automata -- 2.2 Neighborhoods and Radii -- 2.3 Distortion -- 3 Distorted One-Head Machines -- 3.1 One-Head Machines -- 3.2 Speed Trichotomy -- 3.3 Aperiodic Machines -- 3.4 Distortion on Sofic Shifts -- 3.5 Undecidability of Distortion -- 4 Unbalanced Distortion in General Subshifts -- 5 Future Work -- References -- Fast One-Way Cellular Automata with Reversible Mealy Cells -- 1 Introduction -- 2 Preliminaries and Definitions -- 3 The Computational Capacity of One-Way Mealy Cellular Automata with Weakly Reversible Cells -- 4 Reversible One-Way Partitioned Cellular Automata -- 5 Conclusions -- References. Enumerating Orthogonal Latin Squares Generated by Bipermutive Cellular Automata -- 1 Introduction -- 2 Preliminaries -- 2.1 Basic Definitions -- 2.2 Latin Squares Generated by Cellular Automata -- 3 Main Results -- 4 Enumeration of Pairwise Balanced Bipermutive Rules -- 5 Conclusions -- References -- Filling Curves Constructed in Cellular Automata with Aperiodic Tiling -- 1 Introduction -- 2 Constructions and Fillings -- 2.1 Cellular Automata -- 2.2 Tile Set -- 3 Aperiodic Tile Set -- 3.1 From Tile Set Determinism to Cellular Automaton -- 3.2 A NW-Deterministic Aperiodic Tile Set -- 4 Aperiodic Filling -- 4.1 Linear Functions -- 4.2 Over-Logarithmic Growth Functions -- 5 Conclusions and Perspectives -- References -- Some Computational Limits of Trellis Automata -- 1 Introduction -- 2 Trellis Automaton -- 3 Factors Diagram for a Language -- 4 Trellis Automaton Patterns and Language Patterns -- 5 Counting Argument -- 6 Some Non Trellis Language -- 7 Conclusion -- References -- Turing-Completeness of Asynchronous Non-camouflage Cellular Automata -- 1 Introduction -- 2 Preliminaries -- 2.1 Asynchronous CA -- 2.2 Requirements -- 2.3 Priese System -- 3 Proposing Asynchronous Non-camouflage CA -- 3.1 Proposed CA M -- 3.2 Simulation of s-automaton -- 4 Discussion -- References -- Author Index. |
| Record Nr. | UNISA-996466308903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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