1034 search results - page 188 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
84
Voted
ICPR
2006
IEEE
16 years 23 days ago
2006
IEEE
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
110
Voted
KDD
2002
ACM
16 years 2 days ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
91
Voted
CIA
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. In this paper we investigate methods for analyzing the expected value of adding information in distributed task scheduling problems. As scheduling problems are NP-complet...
106
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CMS
2010
14 years 12 months ago
2010
While conventional malware detection approaches increasingly fail, modern heuristic strategies often perform dynamically, which is not possible in many applications due to related ...
116
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ICML
2004
IEEE
16 years 14 days ago
2004
IEEE
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...