1769 search results - page 38 / 354 » Prediction on Spike Data Using Kernel Algorithms |
103
click to vote
PR
2008
14 years 9 months ago
2008
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
75
Voted
NIPS
2004
14 years 11 months ago
2004
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
COLT
2003
Springer
15 years 2 months ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
68
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
100
Voted
DIS
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. We propose a new string kernel based on variable-lengthdon't-care patterns (VLDC patterns). A VLDC pattern is an element of ({}) , where is an alphabet and is the ...