1172 search results - page 138 / 235 » From Data Distributions to Regularization in Invariant Learn... |
144
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
173
Voted
ATAL
2007
Springer
15 years 7 months ago
2007
Springer
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
135
Voted
UAI
2000
15 years 5 months ago
2000
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
131
Voted
UAI
1996
15 years 5 months ago
1996
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...
149
Voted
ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...