1137 search results - page 80 / 228 » Parametric Process Model Inference |
ICML
2009
IEEE
13 years 7 months ago
2009
IEEE
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...
AAAI
2010
13 years 11 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
NECO
2008
13 years 10 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
HIS
2003
13 years 11 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
DFT
2003
IEEE
14 years 3 months ago
2003
IEEE
Delay faults are an increasingly important test challenge. Traditional delay fault models are incomplete in that they only model a subset of delay defect behaviors. To solve this ...