8970 search results - page 99 / 1794 » Learning to Learn Causal Models |
146
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IPL
2010
15 years 4 months ago
2010
We study the problem of learning parity functions that depend on at most k variables (kparities) attribute-efficiently in the mistake-bound model. We design a simple, deterministi...
181
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ESANN
2006
15 years 7 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
199
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ICANNGA
2009
Springer
16 years 28 days ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
151
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FOCS
2003
IEEE
15 years 11 months ago
2003
IEEE
We consider a model of learning Boolean functions from examples generated by a uniform random walk on {0, 1}n . We give a polynomial time algorithm for learning decision trees and...
175
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CIVR
2006
Springer
15 years 10 months ago
2006
Springer
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...