Research Catalog
Algorithmic learning theory : 4th international workshop, ALT '93, Tokyo, Japan, November 8-10, 1993 : proceedings
- Title
- Algorithmic learning theory : 4th international workshop, ALT '93, Tokyo, Japan, November 8-10, 1993 : proceedings / K.P. Jantke [and others].
- Author
- ALT '93 (1993 : Tokyo, Japan)
- Publication
- Berlin ; New York : Springer-Verlag, ©1993.
Items in the Library & Off-site
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1 Item
Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Use in library | QA76.9.A43 A48 1993 | Off-site |
Details
- Additional Authors
- Description
- xi, 423 p. : ill.; 24 cm.
- Series Statement
- Lecture notes in computer science ; 744. Lecture notes in artificial intelligence
- Uniform Title
- Lecture notes in computer science ; 744.
- Lecture notes in computer science. Lecture notes in artificial intelligence
- Subject
- Computer algorithms > Congresses
- Machine learning > Congresses
- Computational learning theory > Congresses
- Computational learning theory
- Computer algorithms
- Machine learning
- Lerntheorie
- Maschinelles Lernen
- Mathematische Lerntheorie
- Kongress
- Leertheorieën
- Algoritmos E Estruturas De Dados
- Inteligencia Artificial (Computacao)
- Artificial intelligence > Congresses
- Neural networks (Computer science) > Congresses
- Apprentissage automatique > Congrès
- Algorithmes > Congrès
- Kongreß
- Genre/Form
- Conference papers and proceedings
- Tokio (1992)
- Tokio (1993)
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- Identifying and Using Patterns in Sequential Data / P. Laird -- Learning Theory Toward Genome Informatics / S. Miyano -- Optimal Layered Learning : A PAC Approach to Incremental Sampling / S. Muggleton -- Reformulation of Explanation by Linear Logic -- Toward Logic for Explanation / J. Arima and H. Sawamura -- Towards Efficient Inductive Synthesis of Expressions from Input/Output Examples / J. Barzdins, G. Barzdins, K. Apsitis and U. Sarkans -- A Typed [lambda]-Calculus for Proving-by-Example and Bottom-up Generalization Procedure / M. Hagiya -- Case-Based Representation and Learning of Pattern Languages / K.P. Jantke and S. Lange -- Inductive Resolution / T. Sato and S. Akiba -- Generalized Unification as Background Knowledge in Learning Logic Programs / A. Yamamoto -- Inductive Inference Machines That Can Refute Hypothesis Spaces / Y. Mukouchi and S. Arikawa -- On the Duality Between Mechanistic Learners and What it is They Learn / R. Freivalds and C.H. Smith -- On Aggregating Teams of Learning Machines / S. Jain and A. Sharma -- Learning with Growing Quality / J. Viksna -- Use of Reduction Arguments in Determining Popperian FIN-Type Learning Capabilities / R. Daley and B. Kalyanasundaram -- Properties of Language Classes with Finite Elasticity / T. Moriyama and M. Sato -- Uniform Characterizations of Various Kinds of Language Learning / S. Kapur -- How to Invent Characterizable Inference Methods for Regular Languages / T. Knuutila -- Neural Discriminant Analysis / J.R. Cuellar and H.U. Simon -- A New Algorithm for Automatic Configuration of Hidden Markov Models / M. Iwayama, N. Indurkhya and H. Motoda -- On the VC-Dimension of Depth Four Threshold Circuits and the Complexity of Boolean-valued Functions / A. Sakurai -- On the Sample Complexity of Consistent Learning with One-Sided Error / E. Takimoto and A. Maruoka -- Complexity of Computing Vapnik-Chervonenkis Dimension / A. Shinohara -- [epsilon]-Approximation of k-Label Spaces / S. Hasegawa, H. Imai and M. Ishiguro -- Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries / A. Nakamura and N. Abe -- Thue Systems and DNA -- A Learning Algorithm for a Subclass / R. Siromoney, D.G. Thomas, K.G. Subramanian and V.R. Dare -- The VC-Dimensions of Finite Automata with n States / Y. Ishigami and S. Tani -- Unifying Learning Methods by Colored Digraphs / K. Yoshida, H. Motoda and N. Indurkhya -- A Perceptual Criterion for Visually Controlling Learning / M. Suwa and H. Motoda -- Learning Strategies Using Decision Lists / S. Kobayashi -- A Decomposition Based Induction Model for Discovering Concept Clusters from Databases / N. Zhong and S. Ohsuga -- Algebraic Structure of Some Learning Systems / J.-G. Ganascia -- Induction of Probabilistic Rules Based on Rough Set Theory / S. Tsumoto and H. Tanaka.
- ISBN
- 0387573704
- 9780387573700
- 3540573704
- 9783540573708
- LCCN
- 94120928
- OCLC
- ocm29379503
- 29379503
- SCSB-2029948
- Owning Institutions
- Princeton University Library