904 search results - page 24 / 181 » Machine learning for stock selection |
173
Voted
IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
131
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COLT
2008
Springer
15 years 5 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
160
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
125
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
117
Voted
ICML
1989
IEEE
15 years 8 months ago
1989
IEEE
The training experiences needed by a learning system may be selected by either an external agent or the system itself. We show that knowledge of the current state of the learner&#...