10054 search results - page 439 / 2011 » On the Complexity of Function Learning |
136
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
134
click to vote
KDD
2005
ACM
16 years 5 months ago
2005
ACM
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
134
click to vote
ECAI
2008
Springer
15 years 6 months ago
2008
Springer
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
140
click to vote
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
111
click to vote
ALT
2000
Springer
16 years 1 months ago
2000
Springer
Abstract. We consider the problem of efficient approximate learning by multilayered feedforward circuits subject to two objective functions. First, we consider the objective to ma...