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185
Voted
ALT
2004
Springer
16 years 3 months ago
Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
Mark Herbster
204
Voted
ALT
2003
Springer
16 years 3 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
169
Voted
ALT
2002
Springer
16 years 3 months ago
How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution
Abstract. We consider a problem that is related to the “Universal Encoding Problem” from information theory. The basic goal is to find rules that map “partial information”...
Dietrich Braess, Jürgen Forster, Tomas Sauer,...
145
Voted
ALT
2002
Springer
16 years 3 months ago
On the Learnability of Vector Spaces
The central topic of the paper is the learnability of the recursively enumerable subspaces of V∞/V , where V∞ is the standard recursive vector space over the rationals with (c...
Valentina S. Harizanov, Frank Stephan
ICML
2006
IEEE
16 years 3 months ago
Cover Trees for Nearest Neighbor
We present a tree data structure for fast nearest neighbor operations in general n- point metric spaces (where the data set con- sists of n points). The data structure re- quir...
Alina Beygelzimer, Sham Kakade, John Langford
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