1989 search results - page 162 / 398 » Learning to Select Useful Landmarks |
203
click to vote
WEBDB
2010
Springer
15 years 11 months ago
2010
Springer
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...
147
click to vote
SARA
2005
Springer
15 years 12 months ago
2005
Springer
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
172
click to vote
ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
175
click to vote
ML
2000
ACM
15 years 6 months ago
2000
ACM
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
155
click to vote
IEICET
2007
15 years 6 months ago
2007
In order to obtain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the gener...