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IJAR
2010
152views more  IJAR 2010»
13 years 7 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
BIOINFORMATICS
2005
152views more  BIOINFORMATICS 2005»
13 years 8 months ago
Intervention in context-sensitive probabilistic Boolean networks
Motivation: Intervention in a gene regulatory network is used to help it avoid undesirable states, such as those associated with a disease. Several types of intervention have been...
Ranadip Pal, Aniruddha Datta, Michael L. Bittner, ...
ECML
2007
Springer
14 years 12 days ago
Modeling Highway Traffic Volumes
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
Tomás Singliar, Milos Hauskrecht
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
11 years 11 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong
INFOCOM
2010
IEEE
13 years 7 months ago
Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management
Abstract—This paper investigates pricing of Internet connectivity services in the context of a monopoly ISP selling broadband access to consumers. We first study the optimal com...
Prashanth Hande, Mung Chiang, A. Robert Calderbank...