1080 search results - page 193 / 216 » Hedging predictions in machine learning |
DCC
2009
IEEE
15 years 10 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
ALT
2008
Springer
15 years 7 months ago
2008
Springer
Abstract. Classical probability theory considers probability distributions that assign probabilities to all events (at least in the finite case). However, there are natural situat...
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BMCBI
2007
14 years 10 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
ML
2008
ACM
14 years 10 months ago
2008
ACM
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...