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» Satisfiability with Exponential Families
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JMLR
2010
84views more  JMLR 2010»
13 years 22 days ago
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity
The versatility of exponential families, along with their attendant convexity properties, make them a popular and effective statistical model. A central issue is learning these mo...
Sham Kakade, Ohad Shamir, Karthik Sindharan, Ambuj...
COMBINATORICS
2004
84views more  COMBINATORICS 2004»
13 years 5 months ago
q-Exponential Families
We develop an analog of the exponential families of Wilf in which the label sets are finite dimensional vector spaces over a finite field rather than finite sets of positive integ...
Kent E. Morrison

Presentation
896views
13 years 3 months ago
Exponential families and simplification of mixture models
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
ICASSP
2010
IEEE
13 years 6 months ago
Exponentially embedded families for multimodal sensor processing
The exponential embedding of two or more probability density functions (PDFs) is proposed for multimodal sensor processing. It approximates the unknown PDF by exponentially embedd...
Steven Kay, Quan Ding
ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
13 years 11 months ago
Imprecise probability models for inference in exponential families
When considering sampling models described by a distribution from an exponential family, it is possible to create two types of imprecise probability models. One is based on the co...
Erik Quaeghebeur, Gert de Cooman