5138 search results - page 94 / 1028 » Low-Entropy Set Selection. |
213
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
142
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ICPR
2002
IEEE
16 years 7 months ago
2002
IEEE
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
165
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GECCO
2010
Springer
15 years 11 months ago
2010
Springer
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
184
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IWANN
2001
Springer
15 years 10 months ago
2001
Springer
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
165
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...