8970 search results - page 99 / 1794 » Learning to Learn Causal Models |
IPL
2010
15 years 1 days 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...
132
click to vote
ESANN
2006
15 years 3 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...
136
click to vote
ICANNGA
2009
Springer
15 years 8 months 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...
FOCS
2003
IEEE
15 years 6 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...
119
click to vote
CIVR
2006
Springer
15 years 5 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...