Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
On learning noisy threshold functions with finite precision weights
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Language learning in dependence on the space of hypotheses
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Lower bounds for PAC learning with queries
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Analysis of upper bound in Valiant's model for learning bounded CNF expressions
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
A 1996 snapshot of computational learning theory
ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
Iterated phantom induction: a little knowledge can go a long way
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
On-line learning with malicious noise and the closure algorithm
Annals of Mathematics and Artificial Intelligence
Finding tree patterns consistent with positive and negative examples using queries
Annals of Mathematics and Artificial Intelligence
Remarks on computational learning theory
Annals of Mathematics and Artificial Intelligence
Automated Software Engineering
On Intelligent Robot Motion Planning via Learning
Journal of Intelligent and Robotic Systems
Probabilistic ’generalization‘ of functions and dimension-based uniform convergence results
Statistics and Computing
Learning Regular Languages from Simple Positive Examples
Machine Learning
Robot Learning Using Gate-Level Evolvable Hardware
EWLR-6 Proceedings of the 6th European Workshop on Learning Robots
A PAC Learnability of Simple Deterministic Languages
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
Mining Insurance Data at Swiss Life
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Sample Complexity for Function Learning Tasks through Linear Neural Networks
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Extending Elementary Formal Systems
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
DS '02 Proceedings of the 5th International Conference on Discovery Science
DS '98 Proceedings of the First International Conference on Discovery Science
Top-Down Decision Tree Boosting and Its Applications
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
DS '01 Proceedings of the 4th International Conference on Discovery Science
Top-down decision tree learning as information based boosting
Theoretical Computer Science
The VLDB Journal — The International Journal on Very Large Data Bases
Advanced elementary formal systems
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Decision lists over regular patterns
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
The Knowledge Engineering Review
Some Dichotomy Theorems for Neural Learning Problems
The Journal of Machine Learning Research
Multi-class pattern classification using neural networks
Pattern Recognition
The lack of a priori distinctions between learning algorithms
Neural Computation
Learning indexed families of recursive languages from positive data: A survey
Theoretical Computer Science
Measuring teachability using variants of the teaching dimension
Theoretical Computer Science
Automated design of scoring rules by learning from examples
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Effective Learning with Heterogeneous Neural Networks
Neural Information Processing
Recent Developments in Algorithmic Teaching
LATA '09 Proceedings of the 3rd International Conference on Language and Automata Theory and Applications
The learnability of voting rules
Artificial Intelligence
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A formal framework for speedup learning from problems and solutions
Journal of Artificial Intelligence Research
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
On bootstrapping local search with trail-markers
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Extending classical planning to real-world execution with machine learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Grammatical inference and computational linguistics
CLAGI '09 Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference
Information and Computation
The PAC-learnability of planning algorithms: Investigating simple planning domains
Information Sciences: an International Journal
A bibliographical study of grammatical inference
Pattern Recognition
A theory of unsupervised speedup learning
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Algorithms and theory of computation handbook
Teaching randomized learners with feedback
Information and Computation
Differential learning leads to efficient neural network classifiers
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Generating grammars for SGML tagged texts lacking DTD
Mathematical and Computer Modelling: An International Journal
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
Fundamenta Informaticae
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