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AI 2015: Advances in Artificial Intelligence [[electronic resource] ] : 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings / / edited by Bernhard Pfahringer, Jochen Renz
| AI 2015: Advances in Artificial Intelligence [[electronic resource] ] : 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings / / edited by Bernhard Pfahringer, Jochen Renz |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVII, 652 p. 196 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Algorithms Mathematical logic Information storage and retrieval Artificial Intelligence Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity Mathematical Logic and Formal Languages Information Storage and Retrieval |
| ISBN | 3-319-26350-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466224003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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AI 2015: Advances in Artificial Intelligence : 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings / / edited by Bernhard Pfahringer, Jochen Renz
| AI 2015: Advances in Artificial Intelligence : 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings / / edited by Bernhard Pfahringer, Jochen Renz |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVII, 652 p. 196 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Algorithms Machine theory Information storage and retrieval systems Artificial Intelligence Data Mining and Knowledge Discovery Formal Languages and Automata Theory Information Storage and Retrieval |
| ISBN | 3-319-26350-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483625103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Discovery science : 13th International Conference, DS 2010 : Canberra, Australia, October 6-8, 2010 : proceedings / / Bernhard Pfahringer, Geoff Holmes, Achim Hoffmann, (eds.)
| Discovery science : 13th International Conference, DS 2010 : Canberra, Australia, October 6-8, 2010 : proceedings / / Bernhard Pfahringer, Geoff Holmes, Achim Hoffmann, (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XIII, 384 p. 108 illus.) |
| Disciplina | 501 |
| Altri autori (Persone) |
PfahringerBernhard
HolmesGeoffrey HoffmannAchim |
| Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence |
| Soggetto topico |
Science - Philosophy
Discoveries in science |
| ISBN | 3-642-16184-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sentiment Knowledge Discovery in Twitter Streaming Data -- A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation -- Topology Preserving SOM with Transductive Confidence Machine -- An Artificial Experimenter for Enzymatic Response Characterisation -- Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining -- On Enumerating Frequent Closed Patterns with Key in Multi-relational Data -- Why Text Segment Classification Based on Part of Speech Feature Selection -- Speeding Up and Boosting Diverse Density Learning -- Incremental Learning of Cellular Automata for Parallel Recognition of Formal Languages -- Sparse Substring Pattern Set Discovery Using Linear Programming Boosting -- Discovery of Super-Mediators of Information Diffusion in Social Networks -- Integer Linear Programming Models for Constrained Clustering -- Efficient Visualization of Document Streams -- Bridging Conjunctive and Disjunctive Search Spaces for Mining a New Concise and Exact Representation of Correlated Patterns -- Graph Classification Based on Optimizing Graph Spectra -- Algorithm for Detecting Significant Locations from Raw GPS Data -- Discovery of Conservation Laws via Matrix Search -- Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle -- Exploiting Code Redundancies in ECOC -- Concept Convergence in Empirical Domains -- Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung -- Mining Class-Correlated Patterns for Sequence Labeling -- ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis -- Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships -- Incremental Mining of Closed Frequent Subtrees -- Optimal Online Prediction in Adversarial Environments -- Discovery of Abstract Concepts by a Robot -- Contrast Pattern Mining and Its Application for Building Robust Classifiers -- Towards General Algorithms for Grammatical Inference -- The Blessing and the Curse of the Multiplicative Updates. |
| Record Nr. | UNINA-9910483621003321 |
| New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Inductive Logic Programming [[electronic resource] ] : 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings / / edited by Stefan Kramer, Bernhard Pfahringer
| Inductive Logic Programming [[electronic resource] ] : 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings / / edited by Stefan Kramer, Bernhard Pfahringer |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XIV, 434 p.) |
| Disciplina | 005.1/15 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Software engineering
Artificial intelligence Computer programming Mathematical logic Algorithms Software Engineering/Programming and Operating Systems Artificial Intelligence Programming Techniques Mathematical Logic and Formal Languages Algorithm Analysis and Problem Complexity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Research Papers -- An Output-Polynomial Time Algorithm for Mining Frequent Closed Attribute Trees -- Guiding Inference Through Relational Reinforcement Learning -- Converting Semantic Meta-knowledge into Inductive Bias -- Learning Teleoreactive Logic Programs from Problem Solving -- A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment -- Distance Based Generalisation -- Automatic Induction of Abduction and Abstraction Theories from Observations -- Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models -- Strategies to Parallelize ILP Systems -- Inducing Causal Laws by Regular Inference -- Online Closure-Based Learning of Relational Theories -- Learning Closed Sets of Labeled Graphs for Chemical Applications -- ILP Meets Knowledge Engineering: A Case Study -- Spatial Clustering of Structured Objects -- Generalization Behaviour of Alkemic Decision Trees -- Predicate Selection for Structural Decision Trees -- Induction of the Indirect Effects of Actions by Monotonic Methods -- Probabilistic First-Order Theory Revision from Examples -- Inductive Equivalence of Logic Programs -- Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops -- A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space -- Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data -- Classifying Relational Data with Neural Networks -- Efficient Sampling in Relational Feature Spaces -- Invited Papers -- Why Computers Need to Learn About Music -- Tutorial on Statistical Relational Learning -- Machine Learning for Systems Biology -- Five Problems in Five Areas for Five Years. |
| Record Nr. | UNISA-996465911403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Inductive logic programming : 15th international conference, ILP 2005, Bonn, Germany, August 10-13, 2005 : proceedings / / Stefan Kramer, Bernhard Pfahringer (eds.)
| Inductive logic programming : 15th international conference, ILP 2005, Bonn, Germany, August 10-13, 2005 : proceedings / / Stefan Kramer, Bernhard Pfahringer (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2005 |
| Descrizione fisica | 1 online resource (XIV, 434 p.) |
| Disciplina | 005.1/15 |
| Altri autori (Persone) |
KramerStefan, Prof. Dr.
PfahringerBernhard |
| Collana | Lecture notes in computer science,Lecture notes in artificial intelligence |
| Soggetto topico |
Logic programming
Automatic hypothesis formation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Research Papers -- An Output-Polynomial Time Algorithm for Mining Frequent Closed Attribute Trees -- Guiding Inference Through Relational Reinforcement Learning -- Converting Semantic Meta-knowledge into Inductive Bias -- Learning Teleoreactive Logic Programs from Problem Solving -- A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment -- Distance Based Generalisation -- Automatic Induction of Abduction and Abstraction Theories from Observations -- Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models -- Strategies to Parallelize ILP Systems -- Inducing Causal Laws by Regular Inference -- Online Closure-Based Learning of Relational Theories -- Learning Closed Sets of Labeled Graphs for Chemical Applications -- ILP Meets Knowledge Engineering: A Case Study -- Spatial Clustering of Structured Objects -- Generalization Behaviour of Alkemic Decision Trees -- Predicate Selection for Structural Decision Trees -- Induction of the Indirect Effects of Actions by Monotonic Methods -- Probabilistic First-Order Theory Revision from Examples -- Inductive Equivalence of Logic Programs -- Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops -- A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space -- Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data -- Classifying Relational Data with Neural Networks -- Efficient Sampling in Relational Feature Spaces -- Invited Papers -- Why Computers Need to Learn About Music -- Tutorial on Statistical Relational Learning -- Machine Learning for Systems Biology -- Five Problems in Five Areas for Five Years. |
| Altri titoli varianti | ILP 2005 |
| Record Nr. | UNINA-9910483197403321 |
| Berlin ; ; New York, : Springer, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV
| Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV |
| Autore | Ribeiro Rita P |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (984 pages) |
| Altri autori (Persone) |
PfahringerBernhard
JapkowiczNathalie LarrañagaPedro JorgeAlípio M SoaresCarlos AbreuPedro H GamaJoão |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-032-06078-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996678676903316 |
Ribeiro Rita P
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II
| Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II |
| Autore | Ribeiro Rita P |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (939 pages) |
| Altri autori (Persone) |
PfahringerBernhard
JapkowiczNathalie LarrañagaPedro JorgeAlípio M SoaresCarlos AbreuPedro H GamaJoão |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-032-05981-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996678673803316 |
|
Ribeiro Rita P
|
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V
| Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V |
| Autore | Ribeiro Rita P |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (978 pages) |
| Altri autori (Persone) |
PfahringerBernhard
JapkowiczNathalie LarrañagaPedro JorgeAlípio M SoaresCarlos AbreuPedro H GamaJoão |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-032-06096-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996678672803316 |
|
Ribeiro Rita P
|
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII
| Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII |
| Autore | Ribeiro Rita P |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (962 pages) |
| Altri autori (Persone) |
PfahringerBernhard
JapkowiczNathalie LarrañagaPedro JorgeAlípio M SoaresCarlos AbreuPedro H GamaJoão |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-032-06109-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996678671403316 |
|
Ribeiro Rita P
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Machine learning for data streams : with practical examples in MOA / / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer
| Machine learning for data streams : with practical examples in MOA / / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer |
| Autore | Bifet Albert |
| Pubbl/distr/stampa | Cambridge, : The MIT Press, 2018 |
| Descrizione fisica | 1 PDF (xxi, 262 pages) : illustrations |
| Disciplina | 006.3/12 |
| Collana | Adaptive computation and machine learning |
| Soggetto topico |
Database management
Neural networks (Computer science) Machine learning |
| ISBN | 0-262-34605-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910524885703321 |
|
Bifet Albert
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| Cambridge, : The MIT Press, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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