1864 search results - page 22 / 373 » Modeling Classification and Inference Learning |
98
Voted
MLCW
2005
Springer
15 years 6 months ago
2005
Springer
Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that ...
83
Voted
NIPS
2007
15 years 1 months ago
2007
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
82
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
111
Voted
NIPS
2007
15 years 1 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
124
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...