622 search results - page 79 / 125 » Optimization method based extreme learning machine for class... |
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another ...
EUROCAST
2007
Springer
15 years 3 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...