1930 search results - page 119 / 386 » Learning to Solve QBF |
120
click to vote
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
140
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
116
click to vote
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
160
click to vote
CVPR
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
125
click to vote
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...