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SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 2 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
117
Voted
CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 20 days ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
141
Voted
TON
2010
300views more  TON 2010»
14 years 11 months ago
POPI: a user-level tool for inferring router packet forwarding priority
— Packet forwarding prioritization (PFP) in routers is one of the mechanisms commonly available to network operators. PFP can have a significant impact on the accuracy of networ...
Guohan Lu, Yan Chen, Stefan Birrer, Fabián ...
96
Voted
BMCBI
2006
137views more  BMCBI 2006»
15 years 26 days ago
Genome BLAST distance phylogenies inferred from whole plastid and whole mitochondrion genome sequences
Background: Phylogenetic methods which do not rely on multiple sequence alignments are important tools in inferring trees directly from completely sequenced genomes. Here, we exte...
Alexander F. Auch, Stefan R. Henz, Barbara R. Holl...
113
Voted
ISIPTA
2005
IEEE
140views Mathematics» more  ISIPTA 2005»
15 years 6 months ago
Conservative Rules for Predictive Inference with Incomplete Data
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Marco Zaffalon