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» Inferring Mixtures of Markov Chains
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CSDA
2010
208views more  CSDA 2010»
14 years 12 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
PR
2011
14 years 6 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
94
Voted
ICML
2007
IEEE
16 years 17 days ago
Spectral clustering and transductive learning with multiple views
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
Dengyong Zhou, Christopher J. C. Burges
ICML
2009
IEEE
16 years 17 days ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
CORR
2010
Springer
99views Education» more  CORR 2010»
14 years 11 months ago
A Markov Chain Model for the Analysis of Round-Robin Scheduling Scheme
---------------------------------------------------ABSTRACT-----------------------------------------------In the literature of Round-Robin scheduling scheme, each job is processed,...
D. Shukla, Saurabh Jain, Rahul Singhai, R. K. Agar...