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This is the sample implementation of a Markov random field based image segmentation algorithm described in the following papers:
1. Mark Berthod, Zoltan Kato, Shan Yu, and Josi...
NIPS
2007
13 years 11 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
NIPS
2004
13 years 11 months ago
2004
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 ...
BIOINFORMATICS
2010
13 years 10 months ago
2010
Motivation: To test whether protein folding constraints and secondary structure sequence preferences significantly reduce the space of amino acid words in proteins, we compared th...
ML
2006
ACM
13 years 10 months ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...