http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Algorithmic learning for knowledge-based systems
1 online resource (x, 510 pages) : illustrations
Learning and consistency / Rolf Wiehagen and Thomas Zeugmann -- Error detecting in inductive inference ; Learning from good examples / Rūsiņš Freivalds, Efim B. Kinber and Rolf Wiehagen -- Towards reduction arguments for FINite learning / Robert Daley and Bala Kalyanasundaram -- Not-so-nearly-minimal-size program inference / John Case, Mandayam Suraj and Sanjay Jain -- Optimization problem in inductive inference / Andris Ambainis -- On identification by teams and probabilistic machines / Sanjay Jain and Arun Sharma -- Topological considerations in composing teams of learning machines / Kalvis Apsītis -- Probabilistic versus deterministic memory limited learning / Rūsiņš Freivalds and Efim B. Kinber and Carl H. Smith -- Classification using information / William I. Gasarch, Mark G. Pleszkoch and Mahendran Velauthapillai -- Classifying recursive predicates and languages / Rolf Wiehagen, Carl H. Smith and Thomas Zeugmann -- A guided tour across the boundaries of learning recursive languages / Thomas Zeugmann and Steffen Lange -- Pattern inference / Takeshi Shinohara and Setsuo Arikawa -- Inductive learning of recurrence-term languages from positive data / Phil Watson -- Learning formal languages based on control sets / Yuji Takada -- Learning in case-based classification algorithms / Christoph Globig and Stefan Wess -- Optimal strategies, learning from examples, Boolean equations / Christian Posthoff and Michael Schlosser -- Feature construction during tree learning / Gerhard Mehlsam, Hermann Kaindl and Wilhelm Barth -- On lower bounds for the depth of threshold circuits with weights from [-1,0,+1] / Andreas Albrecht -- Structuring neural networks and PAC-learning / Eberhard Pippig -- Inductive synthesis of rewrite programs / Ulf Goldammer -- TLPS : a term rewriting laboratory (not only) for experiments in automatic program synthesis / Gunter Grieser -- GoslerP : a logic programming tool for inductive inference / Hans-Rainer Beick and Ventsislav Stankov.
Includes bibliographical references and index.
Berlin ; New York : Springer-Verlag, ©1995
Lecture notes in artificial intelligence