4584 search results - page 177 / 917 » Sequential parameter optimization |
135
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IEEEHPCS
2010
15 years 29 days ago
2010
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
140
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AAAI
2010
14 years 11 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
115
Voted
LION
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
103
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
119
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GECCO
2009
Springer
15 years 7 months ago
2009
Springer
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...