1413 search results - page 150 / 283 » A Theory for Memory-Based Learning |
203
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KDD
2008
ACM
16 years 6 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
178
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ICRA
2005
IEEE
15 years 12 months ago
2005
IEEE
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
152
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SBIA
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
165
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
144
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...