Learning fixed-dimension linear thresholds from fragmented data
Information and Computation
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Learning from examples with unspecified attribute values
Information and Computation
Multiple-Instance Learning of Real-Valued Geometric Patterns
Annals of Mathematics and Artificial Intelligence
Every Linear Threshold Function has a Low-Weight Approximator
Computational Complexity
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Partial observability and learnability
Artificial Intelligence
Efficient Learning with Partially Observed Attributes
The Journal of Machine Learning Research
SIAM Journal on Computing
On PAC learning algorithms for rich boolean function classes
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
Nearly optimal solutions for the chow parameters problem and low-weight approximation of halfspaces
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
ICALP'13 Proceedings of the 40th international conference on Automata, Languages, and Programming - Volume Part I
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