Research Catalog

Details

Additional authors

1. Jantke, K. P. (Klaus P.)
2. Kobayashi, Shigenobu, 1945-
3. Tomita, Etsuji
4. Yokomori, Takashi

Description

1. xi, 423 p. : ill.; 24 cm.

Series statement

1. Lecture notes in computer science ; 744. Lecture notes in artificial intelligence

Uniform title

1. Lecture notes in computer science ; 744.
2. Lecture notes in computer science. Lecture notes in artificial intelligence

Subject

1. Computer algorithms > Congresses
2. Machine learning > Congresses
3. Computational learning theory > Congresses
4. Computational learning theory
5. Computer algorithms
6. Machine learning
7. Lerntheorie
8. Maschinelles Lernen
9. Mathematische Lerntheorie
10. Kongress
11. Leertheorieën
12. Algoritmos E Estruturas De Dados
13. Inteligencia Artificial (Computacao)
14. Artificial intelligence > Congresses
15. Neural networks (Computer science) > Congresses
16. Apprentissage automatique > Congrès
17. Algorithmes > Congrès
18. Kongreß

Genre/Form

1. Conference papers and proceedings
2. Tokio (1992)
3. Tokio (1993)

Contents

1. 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.

Owning institution

1. Princeton University Library

Bibliography (note)

1. Includes bibliographical references and index.