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The 26 revised full papers presented together with 5 invited contributions and an introduction were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on learning Boolean functions, boosting and margin-based learning, learning with queries, learning and information extraction, inductive inference, inductive logic programming, language learning, statistical learning, and applications and heuristics.
Algorithmic Learning Theory Автор: Nicolo Cesa-Bianchi, Masayuki Numao, Rudiger Reischuk Год: 2003 |
Inductive Synthesis of Functional Programs Автор: Ute Schmid Год: 2003 |
Inductive Powering: Basic Theory and Application to Biomedical Systems Автор: Koenraad Schuylenbergh, Robert Puers Год: 2009 |
Inductive logic programming: techniques and applications Автор: Nada Lavrac Год: 1994 |
Partnering in the Learning Marketspace, Educause Leadership Strategies Автор: Ann Hill Duin Год: 2001 |