JMLR
2012
12 years 2 months ago
2012
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
TCC
2012
Springer
12 years 8 months ago
2012
Springer
The (decisional) learning with errors problem (LWE) asks to distinguish “noisy” inner products of a secret vector with random vectors from uniform. In recent years, the LWE pro...
IDA
2009
Springer
13 years 10 months ago
2009
Springer
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
SIGPRO
2002
14 years 2 days ago
2002
In blind source separation (BSS), two di erent separation techniques are mainly used: minimal mutual information (MMI), where minimization of the mutual output information yields ...
TSP
2008
14 years 10 days ago
2008
The assessment of multivariate association between two complex random vectors is considered. A number of correlation coefficients based on three popular correlation analysis techni...
ORL
2008
14 years 11 days ago
2008
We consider the problem minX{0,1}n {c x : aj x bj , j = 1, . . . , m}, where the aj are random vectors with unknown distributions. The only information we are given regarding the ...
WSC
2001
14 years 1 months ago
2001
We review chessboard distributions for modeling partially specified finite-dimensional random vectors. Chessboard distributions can match a given set of marginals, a given covaria...
WSC
2007
14 years 2 months ago
2007
Copulas are used in finance and insurance for modeling stochastic dependency. They comprehend the entire dependence structure, not only the correlations. Here they are estimated ...
IJCNN
2006
IEEE
14 years 6 months ago
2006
IEEE
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
ICA
2007
Springer
14 years 6 months ago
2007
Springer
Independent Subspace Analysis (ISA) is a generalization of ICA. It tries to find a basis in which a given random vector can be decomposed into groups of mutually independent rando...