2992 search results - page 88 / 599 » Semantic Distance Measures |
200
Voted
ICML
2007
IEEE
16 years 4 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 ...
126
Voted
IPMI
2003
Springer
16 years 4 months ago
2003
Springer
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
138
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ILP
2003
Springer
15 years 9 months ago
2003
Springer
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
165
Voted
JMLR
2008
15 years 3 months ago
2008
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
158
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CANDC
2005
ACM
15 years 3 months ago
2005
ACM
We propose an algorithm of global multiple sequence alignment that is based on a measure of what we call information discrepancy. The algorithm follows a progressive alignment ite...