893 search results - page 28 / 179 » Statistical timing analysis using Kernel smoothing |
205
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
128
Voted
COLT
2008
Springer
15 years 5 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
147
Voted
MIAR
2006
IEEE
15 years 9 months ago
2006
IEEE
Abstract. A main focus of statistical shape analysis is the description of variability of a population of geometric objects. In this paper, we present work in progress towards mode...
123
Voted
NIPS
2008
15 years 5 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
163
Voted
FLAIRS
2004
15 years 4 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...