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» Classifier Selection Based on Data Complexity Measures
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JMLR
2006
99views more  JMLR 2006»
14 years 10 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
MMS
2006
14 years 10 months ago
Evaluation and analysis of similarity measures for content-based visual information retrieval
The selection of appropriate proximity measures is one of the crucial success factors of content-based visual information retrieval. In this area of research, proximity measures ar...
Horst Eidenberger
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
ICASSP
2010
IEEE
14 years 10 months ago
Speech modeling based on committee-based active learning
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...
Yuzu Hamanaka, Koichi Shinoda, Sadaoki Furui, Tada...
PC
2007
123views Management» more  PC 2007»
14 years 9 months ago
MPI collective algorithm selection and quadtree encoding
Abstract. In this paper, we focus on MPI collective algorithm selection process and explore the applicability of the quadtree encoding method to this problem. During the algorithm ...
Jelena Pjesivac-Grbovic, George Bosilca, Graham E....