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278
Voted
NAACL
2010
15 years 4 months ago
2010
This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) dec...
209
Voted
NAACL
2010
15 years 4 months ago
2010
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
206
Voted
HCI
2009
15 years 4 months ago
2009
The evolution of the Information and Communication Technology (ICT) and the rapid growth of the Internet have impelled the pervasive diffusion of e-Learning systems. This is a grea...
225
click to vote
NN
2010
Springer
15 years 1 months ago
2010
Springer
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
153
Voted
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...