Sciweavers

ESANN
2007
13 years 6 months ago
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
Xiaohai Sun, Dominik Janzing
ISIPTA
2003
IEEE
117views Mathematics» more  ISIPTA 2003»
13 years 10 months ago
Independence with Respect to Upper and Lower Conditional Probabilities Assigned by Hausdorff Outer and Inner Measures
Upper and lower conditional probabilities assigned by Hausdorff outer and inner measures are given; they are natural extensions to the class of all subsets of Ω=[0,1] of finite...
Serena Doria
COLT
2004
Springer
13 years 11 months ago
Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
Peter L. Bartlett, Ambuj Tewari
ISDA
2005
IEEE
13 years 11 months ago
Representing Users in a Travel Support System
We consider the construction and management of user profiles for an agent-based travel support system, with the goal of providing personalized content for individual users of the ...
Maciej Gawinecki, Zygmunt Vetulani, Minor Gordon, ...
PODS
2008
ACM
250views Database» more  PODS 2008»
14 years 5 months ago
Approximating predicates and expressive queries on probabilistic databases
We study complexity and approximation of queries in an expressive query language for probabilistic databases. The language studied supports the compositional use of confidence com...
Christoph Koch
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 6 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
CVPR
2004
IEEE
14 years 7 months ago
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition
Many vision tasks can be formulated as partitioning an adjacency graph through optimizing a Bayesian posterior probability p defined on the partition-space. In this paper two appr...
Adrian Barbu, Song Chun Zhu