Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
Learning from a consistently ignorant teacher
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning linear threshold functions in the presence of classification noise
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning with unreliable boundary queries
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Learning of depth two neural networks with constant fan-in at the hidden nodes (extended abstract)
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
General convergence results for linear discriminant updates
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Learning from examples with unspecified attribute values (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Agnostic learning of geometric patterns (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Learning to resolve natural language ambiguities: a unified approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Machine Learning - Special issue on context sensitivity and concept drift
The robustness of the p-norm algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
Selecting Examples for Partial Memory Learning
Machine Learning
Linear Concepts and Hidden Variables
Machine Learning
General Convergence Results for Linear Discriminant Updates
Machine Learning
PAC Analogues of Perceptron and Winnow Via Boosting the Margin
Machine Learning
On learning unions of pattern languages and tree patterns in the mistake bound model
Theoretical Computer Science
Learning to recognize three-dimensional objects
Neural Computation
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Learning to Recognize 3D Objects with SNoW
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Incremental Learning with Partial Instance Memory
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
On Learning Unions of Pattern Languages and Tree Patterns
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Efficiently Approximating Weighted Sums with Exponentially Many Terms
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Smooth Boosting and Learning with Malicious Noise
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Tracking Linear-Threshold Concepts with Winnow
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Multiple-Instance Learning of Real-Valued Geometric Patterns
Annals of Mathematics and Artificial Intelligence
Smooth boosting and learning with malicious noise
The Journal of Machine Learning Research
The Robustness of the p-Norm Algorithms
Machine Learning
Tracking linear-threshold concepts with Winnow
The Journal of Machine Learning Research
Incremental learning with partial instance memory
Artificial Intelligence
SVM-based generalized multiple-instance learning via approximate box counting
ICML '04 Proceedings of the twenty-first international conference on Machine learning
On approximating weighted sums with exponentially many terms
Journal of Computer and System Sciences
Determining the fitness of a document model by using conflict instances
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
Every Linear Threshold Function has a Low-Weight Approximator
Computational Complexity
Incentive compatible regression learning
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Learning to classify with missing and corrupted features
Proceedings of the 25th international conference on Machine learning
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
The Journal of Machine Learning Research
Multi-instance clustering with applications to multi-instance prediction
Applied Intelligence
Learning Halfspaces with Malicious Noise
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
Strategyproof classification under constant hypotheses: a tale of two functions
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Learning Halfspaces with Malicious Noise
The Journal of Machine Learning Research
Incentive compatible regression learning
Journal of Computer and System Sciences
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Active learning with committees for text categorization
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
On-line learning with delayed label feedback
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Paragraph: thwarting signature learning by training maliciously
RAID'06 Proceedings of the 9th international conference on Recent Advances in Intrusion Detection
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