211 search results - page 9 / 43 » On Spectral Learning of Mixtures of Distributions |
99
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ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
COLT
2010
Springer
14 years 7 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
ATAL
2007
Springer
15 years 1 months ago
2007
Springer
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
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JMLR
2012
13 years 4 days ago
2012
This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...