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ICML
2004
IEEE
16 years 5 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 5 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
DIWEB
2004
15 years 5 months ago
Distributed Query Processing in P2P Systems with Incomplete Schema Information
The peer-to-peer (P2P) paradigm has emerged recently, mainly by file sharing systems like Napster or Gnutella and in terms of scalable distributed data structures. Because of the d...
Marcel Karnstedt, Katja Hose, Kai-Uwe Sattler
JMLR
2010
129views more  JMLR 2010»
15 years 2 months ago
On Finding Predictors for Arbitrary Families of Processes
The problem is sequence prediction in the following setting. A sequence x1, . . . , xn, . . . of discrete-valued observations is generated according to some unknown probabilistic ...
Daniil Ryabko
CORR
2010
Springer
119views Education» more  CORR 2010»
14 years 11 months ago
Effective complexity of stationary process realizations
The concept of effective complexity of an object as the minimal description length of its regularities has been initiated by Gell-Mann and Lloyd. The regularities are modeled by m...
Nihat Ay, Markus Müller, Arleta Szkola