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Algorithmic learning theory : 4th international workshop, ALT '93, Tokyo, Japan, November 8-10, 1993 : proceedings

Author: K P Jantke; Shigenobu Kobayashi; Etsuji Tomita; Takashi Yokomori
Publisher: Berlin : Springer-Verlag, ©1993.
Series: Lecture notes in computer science, 744.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Publication:Springer e-books.
Summary:
This volume contains all the papers that were presented at the Fourth Workshop on Algorithmic Learning Theory, held in Tokyo in November 1993. In addition to 3 invited papers, 29 papers were selected from 47 submitted extended abstracts. The workshop was the fourth in a series of ALT workshops, whose focus is on theories of machine learning and the application of such theories to real-world learning problems. The  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: K P Jantke; Shigenobu Kobayashi; Etsuji Tomita; Takashi Yokomori
ISBN: 9783540573708 3540573704 9783540480969 354048096X
OCLC Number: 793077406
Description: 1 online resource (xi, 423 pages) : illustrations.
Contents: Identifying and using patterns in sequential data / Philip Laird --
Learning theory toward genome informatics / Satoru Miyano --
Optimal layered learning : a PAC approach to incremental sampling / Stephen Muggleton --
Reformulation of explanation by linear logic toward logic for explanation / Jun Arima, Hajime Sawamura --
Towards efficient inductive synthesis of expressions from input/output examples / Jānis Bārzdiņš, Guntis Bārzdiņš, Kalvis Apsītis, Uğis Sarkans --
A typed [lowercase Greek lambda]-calculus for proving-by-example and bottom-up generalization procedure / Masami Hagiya --
Case-based representation and learning of pattern languages / Klaus P. Jantke, Steffen Lange --
Inductive resolution / Taisuke Sato, Sumitaka Akiba --
Generalized unification as background knowledge in learning logic programs / Akihiro Yamamoto --
Inductive inference machines that can refute hypothesis spaces / Yasuhito Mukouchi, Setsuo Arikawa --
On the duality between mechanistic learners and what it is they learn / Rūsiņš Freivalds, Carl H. Smith --
On aggregating teams of learning machines / Sanjay Jain, Arun Sharma --
Learning with growing quality / Juris Viksna --
Use of reduction arguments in determining Popperian FIN-type learning capabilities / Robert Daley, Bala Kalyanasundaram --
Properties of language classes with finite elasticity / Takashi Moriyama, Masako Sato --
Uniform characterizations of various kinds of language learning / Shyam Kapur. How to invent characterizable inference methods for regular languages / Timo Knuutila --
Neural discriminant analysis / Jorge Ricardo Cuellar, Hans Ulrich Simon --
A new algorithm for automatic configuration of hidden Markov models / Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda --
On the VC-dimension of depth four threshold circuits and the complexity of Boolean-valued functions / Akito Sakurai --
On the sample complexity of consistent learning with one-sided error / Eiji Takimoto, Akira Maruoka --
Complexity of computing Vapnik-Chervonenkis dimension / Ayumi Shinohara --
[lowercase Greek epsilon]-approximations of [italic] k-label spaces / Susumu Hasegawa, Hiroshi Imai, Masaki Ishiguro --
Exact learning of linear combinations of monotone terms from function value queries / Atsuyoshi Nakamura, Naoki Abe --
Thue systems and DNA : a learning algorithm for a subclass / Rani Siromoney, D.G. Thomas, K.G. Subramanian, V.R. Dare --
The VC-dimensions of finite automata with [italic] n states / Yoshiyasu Ishigami, Sei'ichi Tani --
Unifying learning methods by colored digraphs / Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya --
A perceptual criterion for visually controlling learning / Masaki Suwa, Hiroshi Motoda --
Learning strategies using decision lists / Satoshi Kobayashi --
A decomposition based induction model for discovering concept clusters from databases / Ning Zhong, Setsuo Ohsuga --
Algebraic structure of some learning systems / Jean-Gabriel Ganascia --
Induction of probabilistic rules based on rough set theory / Shusaku Tsumoto, Hiroshi Tanska.
Series Title: Lecture notes in computer science, 744.
Responsibility: K.P. Jantke, S. Kobayashi, E. Tomita, [and] T. Yokomori (eds.).

Abstract:

This volume contains all the papers that were presented at the Fourth Workshop on Algorithmic Learning Theory, held in Tokyo in November 1993. In addition to 3 invited papers, 29 papers were selected from 47 submitted extended abstracts. The workshop was the fourth in a series of ALT workshops, whose focus is on theories of machine learning and the application of such theories to real-world learning problems. The ALT workshops have been held annually since 1990, sponsored by the Japanese Society for Artificial Intelligence. The volume is organized into parts on inductive logic and inference, inductive inference, approximate learning, query learning, explanation-based learning, and new learning paradigms.

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