1864 search results - page 133 / 373 » Modeling Classification and Inference Learning |
104
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
105
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
A key ingredient in the design of visual object classification
systems is the identification of relevant class specific
aspects while being robust to intra-class variations. Whil...
121
click to vote
ML
2000
ACM
15 years 16 days ago
2000
ACM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
85
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
92
Voted
ESWA
2008
15 years 25 days ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...