Description 
1 online resource (x, 272 pages) : illustrations 
Series 
Lecture notes in computer science, 16113349 ; 7842. Lecture notes in artificial intelligence 

LNCS sublibrary. SL 7, Artificial intelligence 

Lecture notes in computer science ; 7842. 16113349


Lecture notes in computer science. Lecture notes in artificial intelligence.


LNCS sublibrary. SL 7, Artificial intelligence.

Contents 
A Relational Approach to ToolUse Learning in Robots / Solly Brown, Claude Sammut  A Refinement Operator for Inducing ThreadedVariable Clauses / Angelos Charalambidis, Stasinos Konstantopoulos  Propositionalisation of Continuous Attributes beyond Simple Aggregation / Soufiane El Jelali, Agnès Braud, Nicolas Lachiche  Topic Models with Relational Features for Drug Design / Tanveer A. Faruquie, Ashwin Srinivasan, Ross D. King  Pairwise Markov Logic / Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen  Evaluating Inference Algorithms for the Prolog Factor Language / Tiago Gomes, Vítor Santos Costa  Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns / Takahiro Hino, Yusuke Suzuki, Tomoyuki Uchida, Yuko Itokawa  Fast Parameter Learning for Markov Logic Networks Using Bayes Nets / Hassan Khosravi  Bounded Least General Generalization / Ondřej Kuželka, Andrea Szabóová, Filip Železný  ItemsetBased Variable Construction in Multirelational Supervised Learning / Dhafer Lahbib, Marc Boullé, Dominique Laurent  A Declarative Modeling Language for Concept Learning in Description Logics / Francesca Alessandra Lisi  Identifying Driver's Cognitive Load Using Inductive Logic Programming / Fumio Mizoguchi, Hayato Ohwada, Hiroyuki Nishiyama  Opening Doors: An Initial SRL Approach / Bogdan Moldovan, Laura Antanas, McElory Hoffmann  Probing the Space of Optimal Markov Logic Networks for Sequence Labeling / Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan  What Kinds of Relational Features Are Useful for Statistical Learning? / Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan  Learning Dishonesty / Chiaki Sakama  Heuristic Inverse Subsumption in FullClausal Theories / Yoshitaka Yamamoto, Katsumi Inoue, Koji Iwanuma  Learning Unordered Tree Contraction Patterns in Polynomial Time / Yuta Yoshimura, Takayoshi Shoudai 
Summary 
This book constitutes the thoroughly refereed postproceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graphbased learning 
Analysis 
Computer science 

Logic design 

Artificial intelligence 

Mathematical Logic and Formal Languages 

Programming Techniques 

Logics and Meanings of Programs 

Computation by Abstract Devices 
Bibliography 
Includes bibliographical references and author index 
Notes 
Online resource; title from PDF title page (SpringerLink, viewed July 19, 2013) 
Subject 
Logic programming  Congresses.


Induction (Logic)  Congresses.


Machine learning  Congresses.


Logic.


Software.

Genre/Form 
Conference papers and proceedings.


Congress.


Conference papers and proceedings.

Form 
Electronic book

Author 
Riguzzi, Fabrizio.


Železný, Filip.

ISBN 
9783642388125 (electronic bk.) 

3642388124 (electronic bk.) 
