Projection learning

Authors:
Leslie G. Valiant
Affiliations:
Division of Engineering and Applied Sciences, Harvard University, Cambridge, MA
Venue:
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Year:
1998

Quantifying inductive bias: AI learning algorithms and Valiant's learning framework

Artificial Intelligence
Learning functions of k terms

COLT '90 Proceedings of the third annual workshop on Computational learning theory
Learning Boolean Functions in an Infinite Attribute Space

Machine Learning
An introduction to computational learning theory

An introduction to computational learning theory
The perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant

COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On learning width two branching programs (extended abstract)

COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Learning Decision Lists

Machine Learning
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm

Machine Learning
A Neuroidal Architecture for Cognitive Computation

ICALP '98 Proceedings of the 25th International Colloquium on Automata, Languages and Programming
Human Problem Solving

Human Problem Solving
Learning to take actions

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1

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
Robust logics

STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Computational sample complexity and attribute-efficient learning

STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm

COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Parallel Attribute-Efficient Learning of Monotone Boolean Functions

SWAT '00 Proceedings of the 7th Scandinavian Workshop on Algorithm Theory
On parallel attribute-efficient learning

Journal of Computer and System Sciences
Learning attribute-efficiently with corrupt oracles

Theoretical Computer Science
Relational learning for NLP using linear threshold elements

IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Learning attribute-efficiently with corrupt oracles

ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory

Hi-index	0.00