259 search results - page 1 / 52 » A Hybrid Convergent Method for Learning Probabilistic Networ... |
AI
1998
Springer
13 years 8 months ago
1998
Springer
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
ESANN
2003
13 years 6 months ago
2003
In this work a hybrid training scheme for the supervised learning of feedforward neural networks is presented. In the proposed method, the weights of the last layer are obtained em...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
ICML
1997
IEEE
14 years 5 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
NAACL
2007
13 years 6 months ago
2007
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...