Advances in intelligent data analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, proceedings / / Michael R. Berthold, John Shawe-Taylor, Nada Lavrač (editors) |
Edizione | [1st ed. 2007.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2007] |
Descrizione fisica | 1 online resource (XIV, 382 p.) |
Disciplina | 006.33 |
Collana | Lecture notes in computer science |
Soggetto topico |
Mathematical statistics
Mathematical statistics - Data processing Expert systems (Computer science) |
ISBN | 3-540-74825-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Statistical Data Analysis -- Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions -- Multiplicative Updates for L 1–Regularized Linear and Logistic Regression -- Learning to Align: A Statistical Approach -- Transductive Reliability Estimation for Kernel Based Classifiers -- Bayesian Approaches -- Parameter Learning for Bayesian Networks with Strict Qualitative Influences -- Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management -- Clustering Methods -- DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation -- Visualising the Cluster Structure of Data Streams -- Relational Topographic Maps -- Ensemble Learning -- Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification -- Combining Bagging and Random Subspaces to Create Better Ensembles -- Two Bagging Algorithms with Coupled Learners to Encourage Diversity -- Ranking -- Relational Algebra for Ranked Tables with Similarities: Properties and Implementation -- A New Way to Aggregate Preferences: Application to Eurovision Song Contests -- Trees -- Conditional Classification Trees Using Instrumental Variables -- Robust Tree-Based Incremental Imputation Method for Data Fusion -- Sequence/ Time Series Analysis -- Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data -- Recurrent Predictive Models for Sequence Segmentation -- Sequence Classification Using Statistical Pattern Recognition -- Knowledge Discovery -- Subrule Analysis and the Frequency-Confidence Diagram -- A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables -- Visualization -- Visualizing Sets of Partial Rankings -- A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization -- Landscape Multidimensional Scaling -- Text Mining -- A Support Vector Machine Approach to Dutch Part-of-Speech Tagging -- Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering -- Does SVM Really Scale Up to Large Bag of Words Feature Spaces? -- Bioinformatics -- Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers -- Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences -- Soft Topographic Map for Clustering and Classification of Bacteria -- Applications -- Fuzzy Logic Based Gait Classification for Hemiplegic Patients -- Traffic Sign Recognition Using Discriminative Local Features -- Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression. |
Altri titoli varianti |
Advances in intelligent data analysis 7
Advances in intelligent data analysis seven |
Record Nr. | UNINA-9910484403103321 |
Berlin ; ; Heidelberg : , : Springer, , [2007] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in intelligent data analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, proceedings / / Michael R. Berthold, John Shawe-Taylor, Nada Lavrač (editors) |
Edizione | [1st ed. 2007.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2007] |
Descrizione fisica | 1 online resource (XIV, 382 p.) |
Disciplina | 006.33 |
Collana | Lecture notes in computer science |
Soggetto topico |
Mathematical statistics
Mathematical statistics - Data processing Expert systems (Computer science) |
ISBN | 3-540-74825-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Statistical Data Analysis -- Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions -- Multiplicative Updates for L 1–Regularized Linear and Logistic Regression -- Learning to Align: A Statistical Approach -- Transductive Reliability Estimation for Kernel Based Classifiers -- Bayesian Approaches -- Parameter Learning for Bayesian Networks with Strict Qualitative Influences -- Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management -- Clustering Methods -- DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation -- Visualising the Cluster Structure of Data Streams -- Relational Topographic Maps -- Ensemble Learning -- Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification -- Combining Bagging and Random Subspaces to Create Better Ensembles -- Two Bagging Algorithms with Coupled Learners to Encourage Diversity -- Ranking -- Relational Algebra for Ranked Tables with Similarities: Properties and Implementation -- A New Way to Aggregate Preferences: Application to Eurovision Song Contests -- Trees -- Conditional Classification Trees Using Instrumental Variables -- Robust Tree-Based Incremental Imputation Method for Data Fusion -- Sequence/ Time Series Analysis -- Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data -- Recurrent Predictive Models for Sequence Segmentation -- Sequence Classification Using Statistical Pattern Recognition -- Knowledge Discovery -- Subrule Analysis and the Frequency-Confidence Diagram -- A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables -- Visualization -- Visualizing Sets of Partial Rankings -- A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization -- Landscape Multidimensional Scaling -- Text Mining -- A Support Vector Machine Approach to Dutch Part-of-Speech Tagging -- Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering -- Does SVM Really Scale Up to Large Bag of Words Feature Spaces? -- Bioinformatics -- Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers -- Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences -- Soft Topographic Map for Clustering and Classification of Bacteria -- Applications -- Fuzzy Logic Based Gait Classification for Hemiplegic Patients -- Traffic Sign Recognition Using Discriminative Local Features -- Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression. |
Altri titoli varianti |
Advances in intelligent data analysis 7
Advances in intelligent data analysis seven |
Record Nr. | UNISA-996465748403316 |
Berlin ; ; Heidelberg : , : Springer, , [2007] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Inductive logic programming : 18th international conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008 : proceedings / / Filip Železný, Nada Lavrač (editors) |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2008] |
Descrizione fisica | 1 online resource (X, 358 p.) |
Disciplina | 005.115 |
Collana | Lecture notes in computer science |
Soggetto topico | Logic programming |
ISBN | 3-540-85928-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Talks -- Building Theories of the World: Human and Machine Learning Perspectives -- SRL without Tears: An ILP Perspective -- Semantic Web Meets ILP: Unconsumated Love, or No Love Lost? -- Learning Expressive Models of Gene Regulation -- Information Overload and FP7 Funding Opportunities in 2009-10 -- Research Papers -- A Model to Study Phase Transition and Plateaus in Relational Learning -- Top-Down Induction of Relational Model Trees in Multi-instance Learning -- Challenges in Relational Learning for Real-Time Systems Applications -- Discriminative Structure Learning of Markov Logic Networks -- An Experiment in Robot Discovery with ILP -- Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples -- DL-FOIL Concept Learning in Description Logics -- Feature Discovery with Type Extension Trees -- Feature Construction Using Theory-Guided Sampling and Randomised Search -- Foundations of Onto-Relational Learning -- L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning -- Logical Hierarchical Hidden Markov Models for Modeling User Activities -- Learning with Kernels in Description Logics -- Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms -- A Comparison between Two Statistical Relational Models -- Brave Induction -- A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases -- A Note on Refinement Operators for IE-Based ILP Systems -- Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach -- Learning Block-Preserving Outerplanar Graph Patterns and Its Application to Data Mining. |
Record Nr. | UNISA-996466246203316 |
Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2008] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Inductive logic programming : 18th international conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008 : proceedings / / Filip Železný, Nada Lavrač (editors) |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2008] |
Descrizione fisica | 1 online resource (X, 358 p.) |
Disciplina | 005.115 |
Collana | Lecture notes in computer science |
Soggetto topico | Logic programming |
ISBN | 3-540-85928-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Talks -- Building Theories of the World: Human and Machine Learning Perspectives -- SRL without Tears: An ILP Perspective -- Semantic Web Meets ILP: Unconsumated Love, or No Love Lost? -- Learning Expressive Models of Gene Regulation -- Information Overload and FP7 Funding Opportunities in 2009-10 -- Research Papers -- A Model to Study Phase Transition and Plateaus in Relational Learning -- Top-Down Induction of Relational Model Trees in Multi-instance Learning -- Challenges in Relational Learning for Real-Time Systems Applications -- Discriminative Structure Learning of Markov Logic Networks -- An Experiment in Robot Discovery with ILP -- Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples -- DL-FOIL Concept Learning in Description Logics -- Feature Discovery with Type Extension Trees -- Feature Construction Using Theory-Guided Sampling and Randomised Search -- Foundations of Onto-Relational Learning -- L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning -- Logical Hierarchical Hidden Markov Models for Modeling User Activities -- Learning with Kernels in Description Logics -- Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms -- A Comparison between Two Statistical Relational Models -- Brave Induction -- A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases -- A Note on Refinement Operators for IE-Based ILP Systems -- Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach -- Learning Block-Preserving Outerplanar Graph Patterns and Its Application to Data Mining. |
Record Nr. | UNINA-9910767517603321 |
Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2008] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|