1172 search results - page 91 / 235 » From Data Distributions to Regularization in Invariant Learn... |
142
Voted
AAAI
2008
15 years 6 months ago
2008
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
137
Voted
DAGSTUHL
2007
15 years 5 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
144
Voted
IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
170
Voted
AAAI
2011
14 years 3 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
155
Voted
EMNLP
2004
15 years 5 months ago
2004
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...