137 search results - page 15 / 28 » A Direct Method for Building Sparse Kernel Learning Algorith... |
ECML
2004
Springer
14 years 28 days ago
2004
Springer
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...