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» Using Random Forests in the Structured Language Model
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AAMAS
2002
Springer
13 years 8 months ago
Situated Cognition and the Role of Multi-agent Models in Explaining Language Structure
Abstract. How and where are the universal features of language specified? We consider language users as situated agents acting as conduits for the cultural transmission of language...
Henry Brighton, Simon Kirby, Kenny Smith
CVPR
2008
IEEE
14 years 10 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
INTERSPEECH
2010
13 years 3 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
JCB
2008
106views more  JCB 2008»
13 years 8 months ago
Statistics of Random Protein Superpositions: p-Values for Pairwise Structure Alignment
Quantification of statistical significance is essential for the interpretation of protein structural similarity. To address this, a random model for protein structure comparison w...
James O. Wrabl, Nick V. Grishin
SIGIR
2004
ACM
14 years 2 months ago
Corpus structure, language models, and ad hoc information retrieval
Most previous work on the recently developed languagemodeling approach to information retrieval focuses on document-specific characteristics, and therefore does not take into acc...
Oren Kurland, Lillian Lee