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» Inferring Mixtures of Markov Chains
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CSDA
2010
208views more  CSDA 2010»
15 years 1 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...
141
Voted
PR
2011
14 years 8 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
ICML
2007
IEEE
16 years 2 months 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 2 months 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
125
Voted
CORR
2010
Springer
99views Education» more  CORR 2010»
15 years 1 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...