37 search results - page 2 / 8 » Homotopy-Based Semi-Supervised Hidden Markov Models for Sequ... |
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...
ECML
2005
Springer
14 years 14 days ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
JCSS
2007
13 years 6 months ago
2007
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...