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1.

図書

図書
James Cussens, Alan Frisch (eds.)
出版情報: Berlin : Springer, c2000  x, 264 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1866 . Lecture notes in artificial intelligence
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2.

図書

図書
Sašo Džeroski, Peter Flach (eds.)
出版情報: Berlin ; Tokyo : Springer, c1999  viii, 302 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1634 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
Invited Papers / I:
Probabilistic Relational Models / D. Koller
Inductive Databases (Abstract) / H. Mannila
Some Elements of Machine Learning (Extended Abstract) / J.R. Quinlan
Contributed Papers / II:
Refinement Operators Can Be (Weakly) Perfect / L. Badea ; M. Stanciu
Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction / H. Boström ; L. Asker
Refining Complete Hypotheses in ILP / I. Bratko
Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning / K. Chiba ; H. Ohwada ; F. Mizoguchi
Morphosyntactic Tagging of Slovene Using Progol / J. Cussens ; S. D&zbreve;eroski ; T. Erjavec
Experiments in Predicting Biodegradability / S. Dzeroski ; H. Blockeel ; B. Kompare ; S. Kramer ; B. Pfahringer ; W. Van Laer
1BC: A First-Order Bayesian Classifier / P. Flach ; N. Lachiche
Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming / A.M. Frisch
A Strong Complete Schema for Inductive Functional Logic Programming / J. Hernández-Orallo ; M.J. Ramírez-Quintana
Application of Different Learning Methods to Hungarian Part-of-Speech Tagging / T. Horváth ; Z. Alexin ; T. Gyimóthy ; S. Wrobel
Combining LAPIS and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints / D. Kazakov
Learning Word Segmentation Rules for Tag Prediction / S. Manandhar
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition / B. Kijsirikul ; S. Sinthupinyo
Rule Evaluation Measures: A Unifying View / N. Lavrač ; B. Zupan
Improving Part-of-Speech Disambiguation Rules by Adding Linguistic Knowledge / N. Lindberg ; M. Eineborg
On Sufficient Conditions for Learnability of Logic Programs from Positive Data / E. Martin ; A. Sharma
A Bounded Search Space of Clausal Theories / H. Midelfart
Discovering New Knowledge from Graph Data Using Inductive Logic Programming / T. Miyahara ; T. Shoudai ; T. Uchida ; T. Kuboyama ; K. Takahashi ; H. Ueda
Analogical Prediction / S. Muggleton ; M. Bain
Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms / S.-H. Nienhuys-Cheng ; J. Ramon ; L. De Raedt
Theory Recovery / R. Parson ; K. Khan
Instance Based Function Learning
Some Properties of Inverse Resolution in Normal Logic Programs / C. Sakama
An Assessment of ILP-Assisted Models for Toxicology and the PTE-3 Experiment / A. Srinivasan ; R.D. King ; D.W. Bristol
Author Index
Invited Papers / I:
Probabilistic Relational Models / D. Koller
Inductive Databases (Abstract) / H. Mannila
3.

図書

図書
Stephen Muggleton, (ed.)
出版情報: Berlin ; New York : Springer, c1997  viii, 396 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1314 . Lecture notes in artificial intelligence
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4.

図書

図書
Nada Lavrač, Sašo Džeroski, (eds.)
出版情報: Berlin ; New York : Springer, c1997  viii, 308 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1297 . Lecture notes in artificial intelligence
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5.

図書

図書
David Page (ed.)
出版情報: Berlin : Springer, c1998  viii, 299 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1446 . Lecture notes in artificial intelligence
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6.

図書

図書
Stan Matwin, Claude Sammut (eds.)
出版情報: Berlin ; Tokyo : Springer, c2003  x, 349 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2583 . Lecture notes in artificial intelligence
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7.

図書

図書
Tamás Horváth, Akihiro Yamamoto (eds.)
出版情報: Berlin ; Tokyo : Springer, c2003  x, 400 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2835 . Lecture notes in artificial intelligence
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8.

図書

図書
Céline Rouveirol, Michèle Sebag (eds.)
出版情報: Berlin : Springer, c2001  x, 259 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2157 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
A Refinement Operator for Theories / Liviu Badea
Learning Logic Programs with Neural Networks / Rodrigo Basilio ; Gerson Zaverucha ; Valmir C. Barbosa
A Genetic Algorithm for Propositionalization / Agnes Braud ; Christel Vrain
Classifying Uncovered Examples by Rule Stretching / Martin Eineborg ; Henrik Boström
Relational Learning Using Constrained Confidence-Rated Boosting / Susanne Hoche ; Stefan Wrobel
Induction, Abduction, and Consequence-Finding / Katsumi Inoue
From Shell Logs to Shell Scripts / Nico Jacobs ; Hendrik Blockeel
An Automated ILP Server in the Field of Bioinformatics / Andreas Karwath ; Ross D. King
Adaptive Bayesian Logic Programs / Kristian Kersting ; Luc De Raedt
Towards Combining Inductive Logic Programming with Bayesian Networks
Demand-Driven Construction of Structural Features in ILP / Stefan Kramer
Transformation-Based Learning Using Multirelational Aggregation / Mark-A. Krogel
Discovering Associations between Spatial Objects An ILP Application / Donato Malerba ; Francesca A. Lisi
?-Subsumption in a Constraint Satisfaction Perspective / Jérôme Maloberti ; Michèle Sebag
Learning to Parse from a Treebank: Combining TBL and ILP / Miloslav Nepil
Induction of Stable Models / Ramón P. Otero
Application of Pruning Techniques for Propositional Learning to Progol / Tomonobu Ozaki ; Koichi Furukawa
Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognition / René Quiniou ; Marie-Odile Cordier ; Guy Carrault ; Feng Wang
Efficient Cross-Validation in ILP / Jan Struyf
Modelling Semi-structured Documents with Hedges for Deduction and Induction / Akihiro Yamamoto ; Kimihito Ito ; Akira Ishino ; Hiroki Arimura
Learning Functions from Imperfect Positive Data / Filip Äelezný
Author Index
A Refinement Operator for Theories / Liviu Badea
Learning Logic Programs with Neural Networks / Rodrigo Basilio ; Gerson Zaverucha ; Valmir C. Barbosa
A Genetic Algorithm for Propositionalization / Agnes Braud ; Christel Vrain
9.

図書

図書
Stefan Kramer, Bernhard Pfahringer (eds.)
出版情報: Berlin : Springer, c2005  xiii, 425 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 3625 . Lecture notes in artificial intelligence
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10.

図書

図書
Rui Camacho, Ross King, Ashwin Srinivasan (eds.)
出版情報: Berlin ; Tokyo : Springer, c2004  xi, 358 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 3194 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
Invited Papers
Automated Synthesis of Data Analysis Programs: Learning in Logic / Wray Buntine
At the Interface of Inductive Logic Programming and Statistics / James Cussens
From Promising to Profitable Applications of ILP: A Case Study in Drug Discovery / Luc Dehaspe
Systems Biology: A New Challenge for ILP / Steve Oliver
Scaling Up ILP: Experiences with Extracting Relations from Biomedical Text / Jude Shavlik
Research Papers
Macro-Operators Revisited in Inductive Logic Programming / Erick Alphonse
Bottom-Up ILP Using Large Refinement Steps / Marta Arias ; Roni Khardon
On the Effect of Caching in Recursive Theory Learning / Margherita Berardi ; Antonio Varlaro ; Donato Malerba
FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets / Joseph Bockhorst ; Irene Ong
Learning an Approximation to Inductive Logic Programming Clause Evaluation / Frank DiMaio
Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction / Mark Goadrich ; Louis Oliphant
Automatic Induction of First-Order Logic Descriptors Type Domains from Observations / Stefano Ferilli ; Floriana Esposito ; Teresa M.A. Basile ; Nicola Di Mauro
On Avoiding Redundancy in Inductive Logic Programming / Nuno Fonseca ; Vítor S. Costa ; Fernando Silva ; Rui Camacho
Generalization Algorithms for Second-Order Terms / Kouichi Hirata ; Takeshi Ogawa ; Masateru Harao
Circumscription Policies for Induction / Katsumi Inoue ; Haruka Saito
Logical Markov Decision Programs and the Convergence of Logical TD(?) / Kristian Kersting ; Luc De Raedt
Learning Goal Hierarchies from Structured Observations and Expert Annotations / Tolga Könik ; John Laird
Efficient Evaluation of Candidate Hypotheses in AL-log / Francesca A. Lisi
An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques / Jérôme Maloberti ; Einoshin Suzuki
Improving Rule Evaluation Using Multitask Learning / Mark D. Reid
Learning Logic Programs with Annotated Disjunctions / Fabrizio Riguzzi
A Simulated Annealing Framework for ILP / Mathieu Serrurier ; Henri Prade ; Gilles Richard
Modelling Inhibition in Metabolic Pathways
Through Abduction and Induction / Alireza Tamaddoni-Nezhad ; Antonis Kakas ; Stephen Muggleton ; Florencio Pazos
First Order Random Forests with Complex Aggregates / Celine Vens ; Anneleen Van Assche ; Hendrik Blockeel ; SaÃœo D eroski
A Monte Carlo Study of Randomised Restarted Search in ILP / Filip Äelezný ; Ashwin Srinivasan ; David Page
Addendum
Learning, Logic, and Probability: A Unified View / Pedro Domingos
Author Index
Invited Papers
Automated Synthesis of Data Analysis Programs: Learning in Logic / Wray Buntine
At the Interface of Inductive Logic Programming and Statistics / James Cussens
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