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» Modeling Classification and Inference Learning
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ECML
2006
Springer
13 years 12 months ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
ICML
2009
IEEE
14 years 9 months ago
Dynamic mixed membership blockmodel for evolving networks
In a dynamic social or biological environment, interactions between the underlying actors can undergo large and systematic changes. Each actor can assume multiple roles and their ...
Wenjie Fu, Le Song, Eric P. Xing
NIPS
1997
13 years 9 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
NIPS
1993
13 years 9 months ago
Computational Elements of the Adaptive Controller of the Human Arm
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
Reza Shadmehr, Ferdinando A. Mussa-Ivaldi
ICASSP
2011
IEEE
12 years 12 months ago
USPACOR: Universal sparsity-controlling outlier rejection
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...
Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Fa...