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CSDA
2007
108views more  CSDA 2007»
15 years 5 months ago
Diagnostics for functional regression via residual processes
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
Jeng-Min Chiou, Hans-Georg Müller
NIPS
1998
15 years 7 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ICANN
1997
Springer
15 years 10 months ago
Correlation Coding in Stochastic Neural Networks
Abstract. Stimulus4ependent changes have been observed in the correlations between the spike trains of simultaneously-recorded pairs of neurons from the auditory cortex of marmoset...
Raphael Ritz, Terrence J. Sejnowski
CSDA
2006
79views more  CSDA 2006»
15 years 5 months ago
Nonlinear dynamics in Nasdaq dealer quotes
A nonlinear dynamic model for the quotes issued by Nasdaq dealers is considered, focussing on the top two Electronic Communication Networks (ECNs), Island and Instinet, and the th...
Bart Frijns, Peter C. Schotman