2712 search results - page 132 / 543 » On learning algorithm selection for classification |
117
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
142
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ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
132
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KDD
2007
ACM
15 years 8 months ago
2007
ACM
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
100
Voted
FLAIRS
2004
15 years 3 months ago
2004
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
112
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ICRA
2007
IEEE
15 years 8 months ago
2007
IEEE
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...