116 search results - page 20 / 24 » Monte Carlo Hierarchical Model Learning |
KBSE
2000
IEEE
13 years 12 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...
IDA
2009
Springer
14 years 2 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...
ICRA
2010
IEEE
13 years 6 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...
BMCBI
2006
13 years 7 months 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...
KDD
2004
ACM
14 years 8 months 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...