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NIPS
2004
13 years 6 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
ICML
2007
IEEE
14 years 5 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton
SIGIR
2010
ACM
13 years 8 months ago
Hierarchical pitman-yor language model for information retrieval
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
Saeedeh Momtazi, Dietrich Klakow
ICIP
2009
IEEE
14 years 5 months ago
Hierarchical Region-based Representation For Segmentation And Filtering With Depth In Single Images
This paper presents an algorithm for tree-based representation of single images and its applications to segmentation and filtering with depth. In a our recent work, we have addres...
JBI
2008
13 years 4 months ago
The Field Representation Language
The complexity of quantitative biomedical models, and the rate at which they are published, is increasing to a point where managing the information has become all but impossible w...
Guy Tsafnat