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AIPS
2008
13 years 10 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparing mathematical models on the problem of network inference
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...
Christian Spieth, Nadine Hassis, Felix Streichert
MJ
2006
89views more  MJ 2006»
13 years 7 months ago
RTDT: A static QoS manager, RT scheduling, HW/SW partitioning CAD tool
The Hardware (HW)/Software (SW) partitioning/scheduling relies on two subtasks : the cost function and the real time (RT) analysis. Besides these two subtasks, the proposed generi...
Hedi Tmar, Jean-Philippe Diguet, Abdenour Azzedine...
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 8 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
AIME
2009
Springer
14 years 2 months ago
An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression
: Mental healthcare is a prospective area for applying AI techniques. For example, a computerized system could support individuals with a history of depression in maintaining their...
Azizi Ab Aziz, Michel C. A. Klein, Jan Treur