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TMI
2010
113views more  TMI 2010»
14 years 11 months ago
Multiscale Model of Liver DCE-MRI Towards a Better Understanding of Tumor Complexity
Abstract—The use of quantitative imaging for the characterization of hepatic tumors in MRI can improve the diagnosis and therefore the treatment of these life-threatening tumors....
Muriel Mescam, Marek Kretowski, Johanne Béz...
110
Voted
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
14 years 11 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone
AAAI
2006
15 years 2 months ago
Model Counting: A New Strategy for Obtaining Good Bounds
Model counting is the classical problem of computing the number of solutions of a given propositional formula. It vastly generalizes the NP-complete problem of propositional satis...
Carla P. Gomes, Ashish Sabharwal, Bart Selman
96
Voted
EAAI
2008
131views more  EAAI 2008»
15 years 26 days ago
A behavioral multi-agent model for road traffic simulation
Multi-agent systems allow the simulation of complex phenomena that cannot easily be described analytically. Multi-agent approaches are often based on coordinating agents whose act...
Arnaud Doniec, René Mandiau, Sylvain Piecho...
119
Voted
AAAI
2011
14 years 24 days ago
Modeling and Monitoring Crop Disease in Developing Countries
Information about the spread of crop disease is vital in developing countries, and as a result the governments of such countries devote scarce resources to gathering such data. Un...
John Alexander Quinn, Kevin Leyton-Brown, Ernest M...