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JMLR
2010
173views more  JMLR 2010»
13 years 5 months ago
Collaborative Filtering via Rating Concentration
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...
Bert Huang, Tony Jebara
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
14 years 4 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
AAAI
2008
14 years 1 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...
DALT
2006
Springer
14 years 2 months ago
When Agents Communicate Hypotheses in Critical Situations
This paper discusses the problem of efficient propagation of uncertain information in dynamic environments and critical situations. When a number of (distributed) agents have only ...
Gauvain Bourgne, Nicolas Maudet, Suzanne Pinson
MA
2010
Springer
127views Communications» more  MA 2010»
13 years 9 months ago
Depth notions for orthogonal regression
Global depth, tangent depth and simplicial depths for classical and orthogonal regression are compared in examles and properies that are usefull for calculations are derived. Algo...
Robin Wellmann, Christine H. Müller