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NIPS
2004
13 years 9 months ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
CSSC
2010
79views more  CSSC 2010»
13 years 7 months ago
Are Bayesian Inferences Weak for Wasserman's Example?
: An example was given in the textbook All of Statistics (Wasserman, 2004, pages 186-188) for arguing that, in the problems with a great many parameters Bayesian inferences are wea...
Longhai Li
INFOCOM
2010
IEEE
13 years 6 months ago
Bayesian Inference for Localization in Cellular Networks
—In this paper, we present a general technique based on Bayesian inference to locate mobiles in cellular networks. We study the problem of localizing users in a cellular network ...
Hui Zang, François Baccelli, Jean Bolot

Publication
252views
13 years 10 months ago
Context models on sequences of covers
We present a class of models that, via a simple construction, enables exact, incremental, non-parametric, polynomial-time, Bayesian inference of conditional measures. The approac...
Christos Dimitrakakis
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
13 years 5 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...