876 search results - page 1 / 176 » A theory of learning with similarity functions |
ML
2008
ACM
13 years 9 months ago
2008
ACM
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
COLT
2007
Springer
14 years 5 months ago
2007
Springer
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
PAMI
2008
13 years 10 months ago
2008
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
COLT
2008
Springer
14 years 16 days ago
2008
Springer