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Book Categories |
| Propositionalization for Clustering Symbolic Relational Descriptions | 1 | |
| Efficient and Effective Induction of First Order Decision Lists | 17 | |
| Learning with Feature Description Logics | 32 | |
| An Empirical Evaluation of Bagging in Inductive Logic Programming | 48 | |
| Kernels for Structured Data | 66 | |
| Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems | 84 | |
| Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners | 101 | |
| Learnability of Description Logic Programs | 117 | |
| 1BC2: A True First-Order Bayesian Classifier | 133 | |
| RSD: Relational Subgroup Discovery through First-Order Feature Construction | 149 | |
| Mining Frequent Logical Sequences with SPIRIT-L[superscript o]G | 166 | |
| Using Theory Completion to Learn a Robot Navigation Control Program | 182 | |
| Learning Structure and Parameters of Stochastic Logic Programs | 198 | |
| A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars | 207 | |
| Revision of First-Order Bayesian Classifiers | 223 | |
| The Applicability to ILP of Results Concerning the Ordering of Binomial Populations | 238 | |
| Compact Representation of Knowledge Bases in ILP | 254 | |
| A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data | 270 | |
| A Genetic Algorithms Approach to ILP | 285 | |
| Experimental Investigation of Pruning Methods for Relational Pattern Discovery | 301 | |
| Noise-Resistant Incremental Relational Learning Using Possible Worlds | 317 | |
| Lattice-Search Runtime Distributions May Be Heavy-Tailed | 333 | |
| Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery | 346 | |
| Author Index | 351 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Melissa Sheeley
reviewed Inductive Logic Programming on December 17, 2008
Inductive Logic Programming
Pretty good introduction to algorithms. The writing style wasn't overly dry or boring. The explanations usually made sense, but occasionally felt lack in details. Some of the problem questions were quite difficult and sometimes seemed unrelated to the on page instruction material. The solutions manual helped me understand most of the difficult problems, but some were still ambiguous. This is a good textbook for use with a class, but perhaps not so great for self-learning unless you can find a community to further explain concepts and problems.
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Add Inductive Logic Programming, This book constitutes the thoroughly refereed post-proceedings of the 12th International Conference on Inductive Logic Programming, ILP 2002, held in Sydney, Australia in July 2002. The 22 revised full papers presented were carefully selected during tw, Inductive Logic Programming to the inventory that you are selling on WonderClubX
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Add Inductive Logic Programming, This book constitutes the thoroughly refereed post-proceedings of the 12th International Conference on Inductive Logic Programming, ILP 2002, held in Sydney, Australia in July 2002. The 22 revised full papers presented were carefully selected during tw, Inductive Logic Programming to your collection on WonderClub |