727 search results - page 80 / 146 » On Bayesian model and variable selection using MCMC |
161
click to vote
3DPVT
2006
IEEE
16 years 7 days ago
2006
IEEE
In this paper, we propose a method for 3D-model retrieval from one or more photos. This method provides an ”optimal” selection of 2D views to represent a 3D-model, and a proba...
150
click to vote
CORR
2007
Springer
15 years 6 months ago
2007
Springer
There is a growing body of work on sorting and selection in models other than the unit-cost comparison model. This work treats a natural stochastic variant of the problem where the...
147
click to vote
COLT
2008
Springer
15 years 8 months ago
2008
Springer
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
181
click to vote
ML
2012
ACM
14 years 1 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
150
click to vote
ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
We extend the "Sparse LDA" algorithm of [7] with new sparsity bounds on 2-class separability and efficient partitioned matrix inverse techniques leading to 1000-fold spe...