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» Exploiting Data Missingness in Bayesian Network Modeling
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ECML
2006
Springer
14 years 1 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
CORR
2010
Springer
118views Education» more  CORR 2010»
13 years 9 months ago
Large scale probabilistic available bandwidth estimation
The common utilization-based definition of available bandwidth and many of the existing tools to estimate it suffer from several important weaknesses: i) most tools report a point...
Frederic Thouin, Mark Coates, Michael G. Rabbat
SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
13 years 8 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
GIS
2005
ACM
14 years 10 months ago
In-network surface simplification for sensor fields
Recent research literature on sensor network databases has focused on finding ways to perform in-network aggregation of sensor readings to reduce the message cost. However, with t...
Brian Harrington, Yan Huang
ECAI
2010
Springer
13 years 7 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...