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PAKDD
2007
ACM
148views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Mining Frequent Itemsets from Uncertain Data
Abstract. We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions whose items are associated with existential...
Chun Kit Chui, Ben Kao, Edward Hung
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
TARK
2007
Springer
15 years 10 months ago
Unawareness, beliefs and games
We define a generalized state-space model with interactive unawareness and probabilistic beliefs. Such models are desirable for many potential applications of asymmetric unawaren...
Aviad Heifetz, Martin Meier, Burkhard C. Schipper
CSFW
2005
IEEE
15 years 10 months ago
Belief in Information Flow
To reason about information flow based on beliefs, a new model is developed that describes how attacker beliefs change due to the attacker’s observation of the execution of a p...
Michael R. Clarkson, Andrew C. Myers, Fred B. Schn...
123
Voted
ICCV
2005
IEEE
15 years 10 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...