1769 search results - page 64 / 354 » Prediction on Spike Data Using Kernel Algorithms |
CGO
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper describes an algorithm that takes a trace (i.e., a sequence of numbers or vectors of numbers) as input, and from that produces a sequence of loop nests that, when run, ...
MLDM
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
104
click to vote
BCS
2008
14 years 11 months ago
2008
In this work, a new algorithm is proposed for fast estimation of nonparametric multivariate kernel density, based on principal direction divisive partitioning (PDDP) of the data s...
JMLR
2010
14 years 4 months ago
2010
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
117
click to vote
DAGM
2011
Springer
13 years 9 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...