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Inductive Logic Programming [[electronic resource] ] : 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings / / edited by Nada Lavrač, Saso Dzeroski
| Inductive Logic Programming [[electronic resource] ] : 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings / / edited by Nada Lavrač, Saso Dzeroski |
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
| Descrizione fisica | 1 online resource (X, 318 p.) |
| Disciplina | 005.1/15 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Architecture, Computer
Artificial intelligence Computer programming Computer System Implementation Artificial Intelligence Programming Techniques |
| ISBN | 3-540-69587-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge discovery in databases: An overview -- On the complexity of some Inductive Logic Programming problems -- Inductive logic programming and constraint logic programming (abstract) -- Learning phonetic rules in a speech recognition system -- Cautious induction in inductive logic programming -- Generating numerical literals during refinement -- Lookahead and discretization in ILP -- Data mining via ILP: The application of Progol to a database of enantioseparations -- Part-of-speech tagging using Progol -- Maximum Entropy modeling with Clausal Constraints -- Mining association rules in multiple relations -- Using logical decision trees for clustering -- Induction of Slovene nominal paradigms -- Normal forms for inductive logic programming -- On a sufficient condition for the existence of most specific hypothesis in progol -- Induction of logic programs with more than one recursive clause by analyzing saturations -- A logical framework for graph theoretical decision tree learning -- Learning with abduction -- Systematic Predicate Invention in Inductive Logic Programming -- Learning programs in the event calculus -- Distance between Herbrand interpretations: A measure for approximations to a target concept -- Realizing Progol by forward reasoning -- Probabilistic first-order classification -- Learning Horn definitions with equivalence and membership queries -- Using abstraction schemata in inductive logic programming -- Distance induction in first order logic -- Carcinogenesis predictions using ILP -- Discovery of first-order regularities in a relational database using ofine candidate determination -- Which hypotheses can be found with inverse entailment?. |
| Record Nr. | UNISA-996465503103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Inductive Logic Programming [[electronic resource] ] : 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings / / edited by Nada Lavrač, Saso Dzeroski
| Inductive Logic Programming [[electronic resource] ] : 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings / / edited by Nada Lavrač, Saso Dzeroski |
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
| Descrizione fisica | 1 online resource (X, 318 p.) |
| Disciplina | 005.1/15 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer architecture
Artificial intelligence Computer programming Computer System Implementation Artificial Intelligence Programming Techniques |
| ISBN | 3-540-69587-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge discovery in databases: An overview -- On the complexity of some Inductive Logic Programming problems -- Inductive logic programming and constraint logic programming (abstract) -- Learning phonetic rules in a speech recognition system -- Cautious induction in inductive logic programming -- Generating numerical literals during refinement -- Lookahead and discretization in ILP -- Data mining via ILP: The application of Progol to a database of enantioseparations -- Part-of-speech tagging using Progol -- Maximum Entropy modeling with Clausal Constraints -- Mining association rules in multiple relations -- Using logical decision trees for clustering -- Induction of Slovene nominal paradigms -- Normal forms for inductive logic programming -- On a sufficient condition for the existence of most specific hypothesis in progol -- Induction of logic programs with more than one recursive clause by analyzing saturations -- A logical framework for graph theoretical decision tree learning -- Learning with abduction -- Systematic Predicate Invention in Inductive Logic Programming -- Learning programs in the event calculus -- Distance between Herbrand interpretations: A measure for approximations to a target concept -- Realizing Progol by forward reasoning -- Probabilistic first-order classification -- Learning Horn definitions with equivalence and membership queries -- Using abstraction schemata in inductive logic programming -- Distance induction in first order logic -- Carcinogenesis predictions using ILP -- Discovery of first-order regularities in a relational database using ofine candidate determination -- Which hypotheses can be found with inverse entailment?. |
| Record Nr. | UNINA-9910144914303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge Discovery in Inductive Databases [[electronic resource] ] : 5th International Workshop, KDID 2006 Berlin, Germany, September 18th, 2006 Revised Selected and Invited Papers / / edited by Saso Dzeroski, Jan Struyf
| Knowledge Discovery in Inductive Databases [[electronic resource] ] : 5th International Workshop, KDID 2006 Berlin, Germany, September 18th, 2006 Revised Selected and Invited Papers / / edited by Saso Dzeroski, Jan Struyf |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Descrizione fisica | 1 online resource (X, 301 p.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Database management Artificial intelligence Data Structures and Information Theory Database Management Artificial Intelligence |
| ISBN | 3-540-75549-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Value, Cost, and Sharing: Open Issues in Constrained Clustering -- Contributed Papers -- Mining Bi-sets in Numerical Data -- Extending the Soft Constraint Based Mining Paradigm -- On Interactive Pattern Mining from Relational Databases -- Analysis of Time Series Data with Predictive Clustering Trees -- Integrating Decision Tree Learning into Inductive Databases -- Using a Reinforced Concept Lattice to Incrementally Mine Association Rules from Closed Itemsets -- An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results -- Beam Search Induction and Similarity Constraints for Predictive Clustering Trees -- Frequent Pattern Mining and Knowledge Indexing Based on Zero-Suppressed BDDs -- Extracting Trees of Quantitative Serial Episodes -- IQL: A Proposal for an Inductive Query Language -- Mining Correct Properties in Incomplete Databases -- Efficient Mining Under Rich Constraints Derived from Various Datasets -- Three Strategies for Concurrent Processing of Frequent Itemset Queries Using FP-Growth -- Discussion Paper -- Towards a General Framework for Data Mining. |
| Record Nr. | UNISA-996465624803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Learning Language in Logic [[electronic resource] /] / edited by James Cussens, Saso Dzeroski
| Learning Language in Logic [[electronic resource] /] / edited by James Cussens, Saso Dzeroski |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
| Descrizione fisica | 1 online resource (X, 306 p.) |
| Disciplina | 005.1/31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Mathematical logic Artificial Intelligence Mathematical Logic and Formal Languages |
| ISBN | 3-540-40030-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introductions & Overviews -- An Introduction to Inductive Logic Programming and Learning Language in Logic -- A Brief Introduction to Natural Language Processing for Non-linguists -- A Closer Look at the Automatic Induction of Linguistic Knowledge -- Learning for Semantic Interpretation: Scaling Up without Dumbing Down -- Morphology & Phonology -- Learning to Lemmatise Slovene Words -- Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming -- Learning the Logic of Simple Phonotactics -- Syntax -- Grammar Induction as Substructural Inductive Logic Programming -- Experiments in Inductive Chart Parsing -- ILP in Part-of-Speech Tagging — An Overview -- Iterative Part-of-Speech Tagging -- DCG Induction Using MDL and Parsed Corpora -- Learning Log-Linear Models on Constraint-Based Grammars for Disambiguation -- Unsupervised Lexical Learning with Categorial Grammars Using the LLL Corpus -- Induction of Recursive Transfer Rules -- Learning for Text Categorization and Information Extraction with ILP -- Corpus-Based Learning of Semantic Relations by the ILP System, Asium -- Improving Learning by Choosing Examples Intelligently in Two Natural Language Tasks. |
| Record Nr. | UNISA-996466346803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Learning Language in Logic / / edited by James Cussens, Saso Dzeroski
| Learning Language in Logic / / edited by James Cussens, Saso Dzeroski |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
| Descrizione fisica | 1 online resource (X, 306 p.) |
| Disciplina | 005.1/31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Logic, Symbolic and mathematical Artificial Intelligence Mathematical Logic and Formal Languages |
| ISBN | 3-540-40030-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introductions & Overviews -- An Introduction to Inductive Logic Programming and Learning Language in Logic -- A Brief Introduction to Natural Language Processing for Non-linguists -- A Closer Look at the Automatic Induction of Linguistic Knowledge -- Learning for Semantic Interpretation: Scaling Up without Dumbing Down -- Morphology & Phonology -- Learning to Lemmatise Slovene Words -- Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming -- Learning the Logic of Simple Phonotactics -- Syntax -- Grammar Induction as Substructural Inductive Logic Programming -- Experiments in Inductive Chart Parsing -- ILP in Part-of-Speech Tagging — An Overview -- Iterative Part-of-Speech Tagging -- DCG Induction Using MDL and Parsed Corpora -- Learning Log-Linear Models on Constraint-Based Grammars for Disambiguation -- Unsupervised Lexical Learning with Categorial Grammars Using the LLL Corpus -- Induction of Recursive Transfer Rules -- Learning for Text Categorization and Information Extraction with ILP -- Corpus-Based Learning of Semantic Relations by the ILP System, Asium -- Improving Learning by Choosing Examples Intelligently in Two Natural Language Tasks. |
| Record Nr. | UNINA-9910143616703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||