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» Online Bounds for Bayesian Algorithms
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SIGIR
2002
ACM
14 years 9 months ago
Bayesian online classifiers for text classification and filtering
This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classifi...
Kian Ming Adam Chai, Hai Leong Chieu, Hwee Tou Ng
ICML
2008
IEEE
15 years 10 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
ICML
2010
IEEE
14 years 11 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen
NN
2002
Springer
136views Neural Networks» more  NN 2002»
14 years 9 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
SODA
1993
ACM
85views Algorithms» more  SODA 1993»
14 years 11 months ago
On Traversing Layered Graphs On-line
The following bounds on the competitive ratios of deterministic and randomized on-line algorithms for traversing width-w layered graphs are obtained.
H. Ramesh