904 search results - page 30 / 181 » Machine learning for stock selection |
104
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
We perform a systematic evaluation of feature selection (FS) methods for support vector machines (SVMs) using simulated high-dimensional data (up to 5000 dimensions). Several findi...
113
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JMLR
2010
14 years 9 months ago
2010
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
137
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SLSFS
2005
Springer
15 years 8 months ago
2005
Springer
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
122
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ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
117
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...