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NIPS
2004
13 years 9 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
JMLR
2012
11 years 10 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
COGSCI
2004
75views more  COGSCI 2004»
13 years 7 months ago
Object recognition and Random Image Structure Evolution
We present a technique called Random Image Structure Evolution (RISE) for use in experimental investigations of high-level visual perception. Potential applications of RISE includ...
Javid Sadr, Pawan Sinha
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
IPTPS
2005
Springer
14 years 1 months ago
Hybrid Overlay Structure Based on Random Walks
Application-level multicast on structured overlays often suffer several drawbacks: 1) The regularity of the architecture makes it difficult to adapt to topology changes; 2) the u...
Ruixiong Tian, Yongqiang Xiong, Qian Zhang, Bo Li,...