2476 search results - page 237 / 496 » Model Selection and Error Estimation |
187
click to vote
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
A nonparametric version of the basis pursuit method is developed for field estimation. The underlying model entails known bases, weighted by generic functions to be estimated fro...
142
click to vote
CSDA
2007
15 years 3 months ago
2007
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
139
click to vote
KDD
2004
ACM
16 years 4 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
106
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
105
click to vote
UAI
2004
15 years 5 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...