T. Yokomori | |
|
On Learning Systolic Languages
| | 41 - 52
|
J. L. Balcázar. J. Diaz, R. Gavalda, O. Watanabe | |
|
A Note on the Query Complexity of Learning DFA
| | 53 - 62
|
K. Ito, A. Yamamoto | |
|
Polynomial-Time MAT Learning of Multilinear Logic Programs
| | 63 - 74
|
Neural Networks | |
|
T. Kurita | |
|
Iterative Weighted Least Squares Algorithms for Neural Networks Classifiers
| | 77 - 86
|
K. Niijima | |
|
Domains of Attraction in Autoassociative Memory Networks for
Character Pattern Recognition
| | 87 - 98
|
S. Akaho | |
|
Regularization Learning of Neural Networks for Generalization
| | 99 - 110
|
R. Kamimura | |
|
Competitive Learning by Entropy Minimization
| | 111 - 122
|
Inductive Inference | |
|
Y. Mukouchi | |
|
Inductive Inference with Bounded Mind Changes
| | 125 - 134
|
H. Ishizaka, H. Arimura, T. Shinohara | |
|
Efficient Inductive Inference of Primitive Prologs from Positive Data
| | 135 - 146
|
S. Kapur | |
|
Monotonic Language Learning
| | 147 - 158
|
S. Jain, A. Sharma | |
|
Prudence in Vacillatory Language Identification
| | 159 - 168
|
Analogical Reasoning | |
|
K. Ueda. S. Nagano | |
|
Implementation of Heuristic Problem Solving Process Including
Analogical Reasoning
| | 171 - 182
|
Y. Okubo, M. Haraguchi | |
|
Planning with Abstraction Based on Partial Predicate Mappings
| | 183 - 194
|
Approximate Learning | |
|
Y. Sakai. A. Maruoka | |
|
Learning k-Term Monotone Boolean Formulae
| | 197 - 207
|
J. Takeuchi | |
|
Some Improved Sample Complexity Bounds in the Probabilistic PAC
Learning Model
| | 208 - 219
|
M. Matsuoka | |
|
An Application of Bernstein Polynomials in PAC Model
| | 220 - 228
|
T. Akutsu, A. Takasu | |
|
On PAC Learnability of Functional Dependencies
| | 229 - 239
|
H. Mamitsuka, K. Yamanishi | |
|
Protein Secondary Structure Prediction Based on Stochastic-Rule Learning
| | 240 - 251
|
Kakihara, H. Imai | |
|
Notes on the PAC Learning of Geometric Concepts with Additional Information
| | 252 - 259
|
Index of Authors | | 260
|