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SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
15 years 8 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
ANLP
2000
163views more  ANLP 2000»
15 years 8 months ago
Automatic construction of parallel English-Chinese corpus for cross-language information retrieval
A major obstacle to the construction of a probabilistic translation model is the lack of large parallel corpora. In this paper we first describe a parallel text mining system that...
Jiang Chen, Jian-Yun Nie
SIGPLAN
2002
15 years 6 months ago
Trace analysis of Erlang programs
The paper reports on an experiment to provide the Erlang programming language with a tool package for convenient trace generation, collection and to support analysis of traces usi...
Thomas Arts, Lars-Åke Fredlund
SIGIR
2004
ACM
16 years 6 days ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
16 years 1 days ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles