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Tables of Contents for Algorithmic Learning Theory
Chapter/Section Title
Page #
Page Count
Editors' Introduction
1
10
M. M. Richter
C.H. Smith
R. Wiehagen
T. Zeugmann
Inductive Logic Programming and Data Mining
Scalability Issues in Inductive Logic Programming (Invited Lecture)
11
20
S. Wrobel
Inductive Inference
Learning to Win Process-Control Games Watching Game-Masters
31
15
J. Case
M. Ott
A. Sharma
F. Stephan
Closedness Properties in EX-identification of Recursive Functions
46
15
K. Apsitis
R. Freivalds
R. Simanovskis
J. Smotrovs
Learning via Queries
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries
61
11
V.N. Shevchenko
N. Yu. Zolotykh
Cryptographic Limitations on Parallelizing Membership and Equivalence Queries with Applications to Random Self-Reductions
72
15
M. Fischlin
Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries
87
16
G. Melideo
S. Varricchio
Computational Aspects of Parallel Attribute-Efficient Learning
103
9
P. Damaschke
PAC Learning from Positive Statistical Queries
112
15
F. Denis
Prediction Algorithms
Structured Weight-Based Prediction Algorithms (Invited Lecture)
127
16
A. Maruoka
E. Takimoto
Inductive Logic Programming
Learning from Entailment of Logic Programs with Local Variables
143
15
M.K.R. Krishna Rao
A. Sattar
Logical Aspects of Several Bottom-Up Fittings
158
11
A. Yamamoto
Learnability of Translations from Positive Examples
169
10
N. Sugimoto
Analysis of Case-Based Representability of Boolean Functions by Monotone Theory
179
12
K. Satoh
Learning Formal Languages
Locality, Reversibility, and Beyond: Learning Languages from Positive Data
191
14
T. Head
S. Kobayashi
T. Yokomori
Synthesizing Learners Tolerating Computable Noisy Data
205
15
J. Case
S. Jain
Characteristic Sets for Unions of Regular Pattern Languages and Compactness
220
14
M. Sato
Y. Mukouchi
D. Zheng
Finding a One-Variable Pattern from Incomplete Data
234
13
H. Sakamoto
A Fast Algorithm for Discovering Optimal String Patterns in Large Text Databases
247
15
H. Arimura
A. Wataki
R. Fujino
S. Arikawa
Inductive Inference
A Comparison of Identification Criteria for Inductive Inference of Recursive Real-Valued Functions
262
14
E. Hirowatari
S. Arikawa
Predictive Learning Models for Concept Drift
276
15
J. Case
S. Jain
S. Kaufmann
A. Sharma
F. Stephan
Learning with Refutation
291
15
S. Jain
Comparing the Power of Probabilistic Learning and Oracle Identification under Monotonicity Constraints
306
15
L. Meyer
Learning Algebraic Structures from Text Using Semantical Knowledge
321
15
F. Stephan
Y. Ventsov
Inductive Logic Programming
Lime: A System for Learning Relations (Invited Lecture)
336
39
E. McCreath
A. Sharma
Miscellaneous
On the Sample Complexity for Neural Trees
375
10
M. Schmitt
Learning Sub-classes of Monotone DNF on the Uniform Distribution
385
15
K.A. Verbeurgt
Using Attribute Grammars for Description of Inductive Inference Search Space
400
9
U. Sarkans
J. Barzdins
Towards the Validation of Inductive Learning Systems
409
15
G. Grieser
K.P. Jantke
S. Lange
Consistent Polynomial Identification in the Limit
424
15
W. Stein
Author Index
439