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NIPS
2004
13 years 11 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
IJCM
2002
92views more  IJCM 2002»
13 years 9 months ago
Random-tree Diameter and the Diameter-constrained MST
A minimum spanning tree (MST) with a small diameter is required in numerous practical situations. It is needed, for example, in distributed mutual exclusion algorithms in order to...
Ayman Abdalla, Narsingh Deo
IPPS
1997
IEEE
14 years 2 months ago
d-Dimensional Range Search on Multicomputers
The range tree is a fundamental data structure for multidimensional point sets, and as such, is central in a wide range of geometric anddatabaseapplications. Inthis paper, we desc...
Afonso Ferreira, Claire Kenyon, Andrew Rau-Chaplin...
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 1 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
ICIP
2007
IEEE
14 years 11 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...