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NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 4 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
TCOM
2010
147views more  TCOM 2010»
12 years 11 months ago
On a Ratio of Functions of Exponential Random Variables and Some Applications
Consider independent and identically distributed exponential random variables (r.vs) 1, 2, . . . , and positive scalars 1, 2, . . . , . In this letter, we present the probability...
Ramesh Annavajjala, Ananthanarayanan Chockalingam,...
UAI
2004
13 years 6 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
UAI
2008
13 years 6 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
CORR
2000
Springer
134views Education» more  CORR 2000»
13 years 4 months ago
Learning Complexity Dimensions for a Continuous-Time Control System
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
Pirkko Kuusela, Daniel Ocone, Eduardo D. Sontag