375 search results - page 30 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
129
Voted
ASC
2000
15 years 3 months ago
2000
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
139
Voted
AAAI
2010
15 years 3 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...
114
click to vote
CVPR
2000
IEEE
16 years 3 months ago
2000
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
125
Voted
CIBCB
2005
IEEE
15 years 7 months ago
2005
IEEE
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
136
click to vote
JMLR
2010
14 years 8 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...