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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 10 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
CHARME
1997
Springer
105views Hardware» more  CHARME 1997»
13 years 11 months ago
Simulation-based verification of network protocols performance
Formal verification techniques need to deal with the complexity of the systems rified. Most often, this problem is solved by taking an abstract model of the system and aiming at a...
Mario Baldi, Fulvio Corno, Maurizio Rebaudengo, Pa...
TOG
2008
100views more  TOG 2008»
13 years 7 months ago
Interactive procedural street modeling
This paper addresses the problem of interactively modeling large street networks. We introduce a modeling framework that uses tensor fields to guide the generation of a street gra...
Guoning Chen, Gregory Esch, Peter Wonka, Pascal M&...
CONTEXT
2007
Springer
14 years 1 months ago
Default Inferences in Metaphor Interpretation
In this paper we provide a formalization of a set of default rules that we claim are required for the transfer of information such as causation, event rate and duration in the inte...
Rodrigo Agerri, John A. Barnden, Mark G. Lee, Alan...
LICS
2010
IEEE
13 years 6 months ago
Abstracting the Differential Semantics of Rule-Based Models: Exact and Automated Model Reduction
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...
Vincent Danos, Jérôme Feret, Walter F...