200 search results - page 7 / 40 » Kernel density estimation in accelerators - Implementation a... |
NIPS
2007
13 years 10 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
CSDA
2007
13 years 8 months ago
2007
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
ICASSP
2011
IEEE
13 years 15 days ago
2011
IEEE
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...