59 search results - page 6 / 12 » A Bayesian Hierarchical Model for Learning Natural Scene Cat... |
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
AIME
2007
Springer
14 years 2 months ago
2007
Springer
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
JFR
2006
13 years 8 months ago
2006
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
BVAI
2007
Springer
14 years 2 months ago
2007
Springer
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
COGSCI
2010
13 years 8 months ago
2010
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...