2898 search results - page 440 / 580 » Ensemble Methods in Machine Learning |
151
Voted
COLT
2010
Springer
15 years 1 months ago
2010
Springer
We consider a bandit problem which involves sequential sampling from two populations (arms). Each arm produces a noisy reward realization which depends on an observable random cov...
149
Voted
ML
2010
ACM
14 years 10 months ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
128
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...
150
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
111
Voted
PAMI
2010
15 years 2 months ago
2010
—This paper addresses pattern classification in the framework of domain adaptation by considering methods that solve problems in which training data are assumed to be available o...