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» A general markov framework for page importance computation
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KDD
2002
ACM
125views Data Mining» more  KDD 2002»
14 years 7 months ago
Pattern discovery in sequences under a Markov assumption
In this paper we investigate the general problem of discovering recurrent patterns that are embedded in categorical sequences. An important real-world problem of this nature is mo...
Darya Chudova, Padhraic Smyth
ICA
2012
Springer
12 years 2 months ago
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
Sylvain Le Corff, Gersende Fort, Eric Moulines
SDM
2007
SIAM
73views Data Mining» more  SDM 2007»
13 years 8 months ago
Sketching Landscapes of Page Farms
The Web is a very large social network. It is important and interesting to understand the “ecology” of the Web: the general relations of Web pages to their environment. The un...
Bin Zhou 0002, Jian Pei
ENTCS
2011
106views more  ENTCS 2011»
13 years 1 months ago
A Flexible Framework for Visualisation of Computational Properties of General Explicit Substitutions Calculi
SUBSEXPL is a system originally developed to visualise reductions, simplifications and normalisations in three important calculi of explicit substitutions and has been applied to...
F. L. C. de Moura, A. V. Barbosa, Mauricio Ayala-R...
ICCV
2001
IEEE
14 years 9 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum