9 search results - page 2 / 2 » Multitask Sparsity via Maximum Entropy Discrimination |
89
Voted
NIPS
2000
15 years 2 months ago
2000
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
132
Voted
ICML
2003
IEEE
16 years 1 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...
125
Voted
COLING
2010
14 years 8 months ago
2010
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
103
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...