733 search results - page 61 / 147 » Learning Riemannian Metrics |
163
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DAGSTUHL
2007
15 years 7 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
147
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
182
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ENC
2004
IEEE
15 years 10 months ago
2004
IEEE
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
169
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
164
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UAI
2000
15 years 7 months ago
2000
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...