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Foundations of Inductive Logic Programming [[electronic resource] /] / by Shan-Hwei Nienhuys-Cheng, Ronald de Wolf
Foundations of Inductive Logic Programming [[electronic resource] /] / by Shan-Hwei Nienhuys-Cheng, Ronald de Wolf
Autore Nienhuys-Cheng Shan-Hwei
Edizione [1st ed. 1997.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997
Descrizione fisica 1 online resource (XVIII, 410 p.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Software engineering
Artificial intelligence
Mathematical logic
Computer programming
Software Engineering/Programming and Operating Systems
Artificial Intelligence
Mathematical Logic and Formal Languages
Programming Techniques
ISBN 3-540-69049-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Propositional logic -- First-order logic -- Normal forms and Herbrand models -- Resolution -- Subsumption theorem and refutation completeness -- Linear and input resolution -- SLD-resolution -- SLDNF-resolution -- What is inductive logic programming? -- The framework for model inference -- Inverse resolution -- Unfolding -- The lattice and cover structure of atoms -- The subsumption order -- The implication order -- Background knowledge -- Refinement operators -- PAC learning -- Further topics.
Record Nr. UNINA-9910144922803321
Nienhuys-Cheng Shan-Hwei  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Foundations of Inductive Logic Programming [[electronic resource] /] / by Shan-Hwei Nienhuys-Cheng, Ronald de Wolf
Foundations of Inductive Logic Programming [[electronic resource] /] / by Shan-Hwei Nienhuys-Cheng, Ronald de Wolf
Autore Nienhuys-Cheng Shan-Hwei
Edizione [1st ed. 1997.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997
Descrizione fisica 1 online resource (XVIII, 410 p.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Software engineering
Artificial intelligence
Mathematical logic
Computer programming
Software Engineering/Programming and Operating Systems
Artificial Intelligence
Mathematical Logic and Formal Languages
Programming Techniques
ISBN 3-540-69049-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Propositional logic -- First-order logic -- Normal forms and Herbrand models -- Resolution -- Subsumption theorem and refutation completeness -- Linear and input resolution -- SLD-resolution -- SLDNF-resolution -- What is inductive logic programming? -- The framework for model inference -- Inverse resolution -- Unfolding -- The lattice and cover structure of atoms -- The subsumption order -- The implication order -- Background knowledge -- Refinement operators -- PAC learning -- Further topics.
Record Nr. UNISA-996465549403316
Nienhuys-Cheng Shan-Hwei  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Inductive Logic Programming [[electronic resource] ] : 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 -- August 3, 2011, Revised Selected Papers / / edited by Stephen Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi
Inductive Logic Programming [[electronic resource] ] : 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 -- August 3, 2011, Revised Selected Papers / / edited by Stephen Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XI, 406 p. 130 illus.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Mathematical logic
Computer programming
Computer logic
Computers
Artificial Intelligence
Mathematical Logic and Formal Languages
Programming Techniques
Logics and Meanings of Programs
Computation by Abstract Devices
ISBN 3-642-31951-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Inference and Learning -- Beyond Reward: The Problem of Knowledge and Data -- Exploiting Constraints -- Online Bayesian Inference for the Parameters of PRISM Programs -- Learning Compact Markov Logic Networks with Decision Trees -- Relational Networks of Conditional Preferences -- k-Optimal: A Novel Approximate Inference Algorithm for ProbLog -- Learning Directed Relational Models with Recursive Dependencies -- Integrating Model Checking and Inductive Logic Programming -- Inductive Logic Programming in Answer Set Programming -- Graph-Based Relational Learning with a Polynomial Time Projection Algorithm -- Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models -- Conceptual Clustering of Multi-Relational Data -- Expressive Power of Safe First-Order Logical Decision Trees -- Relational Learning for Spatial Relation Extraction from Natural.
Record Nr. UNISA-996465761303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Inductive Logic Programming [[electronic resource] ] : 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers / / edited by Luc Raedt
Inductive Logic Programming [[electronic resource] ] : 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers / / edited by Luc Raedt
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XII, 257 p.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Mathematical logic
Programming languages (Electronic computers)
Database management
Information storage and retrieval
Algorithms
Data mining
Mathematical Logic and Formal Languages
Programming Languages, Compilers, Interpreters
Database Management
Information Storage and Retrieval
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
ISBN 1-280-38744-0
9786613565365
3-642-13840-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge-Directed Theory Revision -- Towards Clausal Discovery for Stream Mining -- On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics -- Induction of Relational Algebra Expressions -- A Logic-Based Approach to Relation Extraction from Texts -- Discovering Rules by Meta-level Abduction -- Inductive Generalization of Analytically Learned Goal Hierarchies -- Ideal Downward Refinement in the Description Logic -- Nonmonotonic Onto-Relational Learning -- CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods -- Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals -- Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples -- ProGolem: A System Based on Relative Minimal Generalisation -- An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge -- Boosting First-Order Clauses for Large, Skewed Data Sets -- Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages -- Transfer Learning via Relational Templates -- Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data -- Finding Relational Associations in HIV Resistance Mutation Data -- ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries -- Parameter Screening and Optimisation for ILP Using Designed Experiments -- Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models -- Policy Transfer via Markov Logic Networks -- Can ILP Be Applied to Large Datasets?.
Record Nr. UNISA-996465606803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Inductive logic programming : 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : revised papers / / Luc De Raedt (ed.)
Inductive logic programming : 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009 : revised papers / / Luc De Raedt (ed.)
Edizione [1st ed.]
Pubbl/distr/stampa New York, : Springer, 2010
Descrizione fisica 1 online resource (XII, 257 p.)
Disciplina 005.1/15
Altri autori (Persone) RaedtLuc de <1964->
Collana LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence
Soggetto topico Logic programming
ISBN 1-280-38744-0
9786613565365
3-642-13840-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge-Directed Theory Revision -- Towards Clausal Discovery for Stream Mining -- On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics -- Induction of Relational Algebra Expressions -- A Logic-Based Approach to Relation Extraction from Texts -- Discovering Rules by Meta-level Abduction -- Inductive Generalization of Analytically Learned Goal Hierarchies -- Ideal Downward Refinement in the Description Logic -- Nonmonotonic Onto-Relational Learning -- CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods -- Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals -- Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples -- ProGolem: A System Based on Relative Minimal Generalisation -- An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge -- Boosting First-Order Clauses for Large, Skewed Data Sets -- Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages -- Transfer Learning via Relational Templates -- Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data -- Finding Relational Associations in HIV Resistance Mutation Data -- ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries -- Parameter Screening and Optimisation for ILP Using Designed Experiments -- Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models -- Policy Transfer via Markov Logic Networks -- Can ILP Be Applied to Large Datasets?.
Record Nr. UNINA-9910484003603321
New York, : Springer, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Inductive Logic Programming [[electronic resource] ] : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers / / edited by Stan Matwin, Claude Sammut
Inductive Logic Programming [[electronic resource] ] : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers / / edited by Stan Matwin, Claude Sammut
Edizione [1st ed. 2003.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Descrizione fisica 1 online resource (X, 358 p.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Software engineering
Artificial intelligence
Computer science
Computer programming
Algorithms
Mathematical logic
Software Engineering/Programming and Operating Systems
Artificial Intelligence
Computer Science, general
Programming Techniques
Algorithm Analysis and Problem Complexity
Mathematical Logic and Formal Languages
ISBN 3-540-36468-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contributed Papers -- Propositionalization for Clustering Symbolic Relational Descriptions -- Efficient and Effective Induction of First Order Decision Lists -- Learning with Feature Description Logics -- An Empirical Evaluation of Bagging in Inductive Logic Programming -- Kernels for Structured Data -- Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems -- Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners -- Learnability of Description Logic Programs -- 1BC2: A True First-Order Bayesian Classifier -- RSD: Relational Subgroup Discovery through First-Order Feature Construction -- Mining Frequent Logical Sequences with SPIRIT-LoG -- Using Theory Completion to Learn a Robot Navigation Control Program -- Learning Structure and Parameters of Stochastic Logic Programs -- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars -- Revision of First-Order Bayesian Classifiers -- The Applicability to ILP of Results Concerning the Ordering of Binomial Populations -- Compact Representation of Knowledge Bases in ILP -- A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data -- A Genetic Algorithms Approach to ILP -- Experimental Investigation of Pruning Methods for Relational Pattern Discovery -- Noise-Resistant Incremental Relational Learning Using Possible Worlds -- Lattice-Search Runtime Distributions May Be Heavy-Tailed -- Invited Talk Abstracts -- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery.
Record Nr. UNISA-996465274403316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Inductive Logic Programming : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers / / edited by Stan Matwin, Claude Sammut
Inductive Logic Programming : 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers / / edited by Stan Matwin, Claude Sammut
Edizione [1st ed. 2003.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Descrizione fisica 1 online resource (X, 358 p.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Software engineering
Artificial intelligence
Computer science
Computer programming
Algorithms
Mathematical logic
Software Engineering/Programming and Operating Systems
Artificial Intelligence
Computer Science, general
Programming Techniques
Algorithm Analysis and Problem Complexity
Mathematical Logic and Formal Languages
ISBN 3-540-36468-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contributed Papers -- Propositionalization for Clustering Symbolic Relational Descriptions -- Efficient and Effective Induction of First Order Decision Lists -- Learning with Feature Description Logics -- An Empirical Evaluation of Bagging in Inductive Logic Programming -- Kernels for Structured Data -- Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems -- Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners -- Learnability of Description Logic Programs -- 1BC2: A True First-Order Bayesian Classifier -- RSD: Relational Subgroup Discovery through First-Order Feature Construction -- Mining Frequent Logical Sequences with SPIRIT-LoG -- Using Theory Completion to Learn a Robot Navigation Control Program -- Learning Structure and Parameters of Stochastic Logic Programs -- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars -- Revision of First-Order Bayesian Classifiers -- The Applicability to ILP of Results Concerning the Ordering of Binomial Populations -- Compact Representation of Knowledge Bases in ILP -- A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data -- A Genetic Algorithms Approach to ILP -- Experimental Investigation of Pruning Methods for Relational Pattern Discovery -- Noise-Resistant Incremental Relational Learning Using Possible Worlds -- Lattice-Search Runtime Distributions May Be Heavy-Tailed -- Invited Talk Abstracts -- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery.
Record Nr. UNINA-9910143883103321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Inductive Logic Programming [[electronic resource] ] : 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings / / edited by Celine Rouveirol, Michele Sebag
Inductive Logic Programming [[electronic resource] ] : 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings / / edited by Celine Rouveirol, Michele Sebag
Edizione [1st ed. 2001.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
Descrizione fisica 1 online resource (IX, 259 p.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Architecture, Computer
Software engineering
Artificial intelligence
Computer programming
Mathematical logic
Algorithms
Computer System Implementation
Software Engineering/Programming and Operating Systems
Artificial Intelligence
Programming Techniques
Mathematical Logic and Formal Languages
Algorithm Analysis and Problem Complexity
ISBN 3-540-44797-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Refinement Operator for Theories -- Learning Logic Programs with Neural Networks -- A Genetic Algorithm for Propositionalization -- Classifying Uncovered Examples by Rule Stretching -- Relational Learning Using Constrained Confidence-Rated Boosting -- Induction, Abduction, and Consequence-Finding -- From Shell Logs to Shell Scripts -- An Automated ILP Server in the Field of Bioinformatics -- Adaptive Bayesian Logic Programs -- Towards Combining Inductive Logic Programming with Bayesian Networks -- Demand-Driven Construction of Structural Features in ILP -- Transformation-Based Learning Using Multirelational Aggregation -- Discovering Associations between Spatial Objects: An ILP Application -- ?-Subsumption in a Constraint Satisfaction Perspective -- Learning to Parse from a Treebank: Combining TBL and ILP -- Induction of Stable Models -- Application of Pruning Techniques for Propositional Learning to Progol -- Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognition -- Efficient Cross-Validation in ILP -- Modelling Semi-structured Documents with Hedges for Deduction and Induction -- Learning Functions from Imperfect Positive Data.
Record Nr. UNISA-996465810803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui