116 search results - page 1 / 24 » Monte Carlo Hierarchical Model Learning |
ICPR
2006
IEEE
16 years 1 days ago
2006
IEEE
We present a computationally efficient, on-line graph structure estimation method for model-based scene interpretation. Different scenes have different hierarchical graphical mode...
104
Voted
ICML
1999
IEEE
15 years 11 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
85
Voted
ICML
2010
IEEE
15 years 8 hour ago
2010
IEEE
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
94
Voted
AAAI
2004
15 years 10 days ago
2004
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
114
Voted
BMCBI
2004
14 years 10 months ago
2004
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...