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JMLR
2010
93views more  JMLR 2010»
14 years 11 months ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 11 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
CGI
2003
IEEE
15 years 9 months ago
An Efficient Mesh Simplification Method with Feature Detection for Unstructured Meshes and Web Graphics
This paper presents an efficient method of mesh simplification for geometric 3D models. The transmission of 3D models on the Internet is an important task. The data size of a 3D m...
Bing-Yu Chen, Tomoyuki Nishita
WABI
2007
Springer
157views Bioinformatics» more  WABI 2007»
15 years 10 months ago
Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation
Abstract. Parameter estimation of large bio-pathway models is an important and difficult problem. To reduce the prohibitive computational cost, one approach is to decompose a large...
Geoffrey Koh, Lisa Tucker-Kellogg, David Hsu, P. S...
HICSS
1999
IEEE
183views Biometrics» more  HICSS 1999»
15 years 8 months ago
Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation
The Technology Acceptance Model (TAM) represents an important theoretical contribution toward understanding IS usage and IS acceptance behaviors [6, 19]. However, as noted by seve...
Yogesh Malhotra, Dennis F. Galletta