116 search results - page 20 / 24 » Monte Carlo Hierarchical Model Learning |
116
Voted
KBSE
2000
IEEE
15 years 4 months ago
2000
IEEE
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
93
Voted
IDA
2009
Springer
15 years 7 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
121
Voted
ICRA
2010
IEEE
14 years 11 months ago
2010
IEEE
Abstract— Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in p...
83
Voted
BMCBI
2006
15 years 14 days ago
2006
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
119
Voted
KDD
2004
ACM
16 years 25 days ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...