3250 search results - page 388 / 650 » Parameterized Learning Complexity |
135
Voted
ECML
2004
Springer
15 years 10 months ago
2004
Springer
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
127
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MICAI
2004
Springer
15 years 10 months ago
2004
Springer
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
134
Voted
GECCO
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
150
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GECCO
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
131
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AI
2010
Springer
15 years 9 months ago
2010
Springer
Abstract. In this paper we give a systematic analysis of the relationship between imbalance and overlap as factors influencing classifier performance. We demonstrate that these t...