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» Discrete variational integrators and optimal control theory
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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolutionary benefits of evolvable component integration
A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
David Malkin, R. Beau Lotto
HYBRID
2001
Springer
14 years 4 days ago
Accurate Event Detection for Simulating Hybrid Systems
It has been observed that there are a variety of situations in which the most popular hybrid simulation methods can fail to properly detect the occurrence of discrete events. In th...
Joel M. Esposito, Vijay Kumar, George J. Pappas
CBMS
2007
IEEE
14 years 2 months ago
Ontology Engineering to Model Clinical Pathways: Towards the Computerization and Execution of Clinical Pathways
Clinical pathways translate evidence-based recommendations into locally practicable, process-specific algorithms that reduce practice variations and optimize quality of care. Our ...
Katrina F. Hurley, Syed Sibte Raza Abidi
NIPS
2001
13 years 9 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
PAMI
2002
124views more  PAMI 2002»
13 years 7 months ago
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Joachim Denzler, Christopher M. Brown