716 search results - page 89 / 144 » Optimizing Sorting with Machine Learning Algorithms |
130
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
138
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MIR
2005
ACM
15 years 7 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
129
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
122
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COLT
2005
Springer
15 years 7 months ago
2005
Springer
We present a general decomposition algorithm that is uniformly applicable to every (suitably normalized) instance of Convex Quadratic Optimization and efficiently approaches an o...
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...