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» A Decision-based View of Causality
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NIPS
1997
13 years 11 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
BMCBI
2010
147views more  BMCBI 2010»
13 years 10 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
ICIAR
2004
Springer
14 years 3 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
ICCV
2009
IEEE
15 years 2 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
USITS
1997
13 years 11 months ago
SPAND: Shared Passive Network Performance Discovery
In the Internet today, users and applications must often make decisions based on the performance they expect to receive from other Internet hosts. For example, users can often vie...
Srinivasan Seshan, Mark Stemm, Randy H. Katz