40 search results - page 5 / 8 » Learning Permutations with Exponential Weights |
JMLR
2012
11 years 10 months ago
2012
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
WEBDB
2010
Springer
14 years 18 days ago
2010
Springer
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how di�...
AI
2009
Springer
14 years 2 months ago
2009
Springer
This paper examines how one can obtain state of the art Chinese word segmentation using global linear models. We provide experimental comparisons that give a detailed road-map for ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...