544 search results - page 2 / 109 » Active Learning with Model Selection in Linear Regression |
ICANNGA
2009
Springer
13 years 11 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
NIPS
1994
13 years 6 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
ML
2002
ACM
13 years 4 months ago
2002
ACM
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
BRAIN
2010
Springer
13 years 3 months ago
2010
Springer
Discovering brain mechanisms underlying pain perception remains a challenging neuroscientific problem with important practical applications, such as developing better treatments f...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...