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AMAI
2008
Springer
15 years 6 months ago
Mixed deterministic and probabilistic networks
Abstract The paper introduces mixed networks, a new graphical model framework for expressing and reasoning with probabilistic and deterministic information. The motivation to devel...
Robert Mateescu, Rina Dechter
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
15 years 6 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
184
Voted
CMPB
2010
171views more  CMPB 2010»
15 years 1 months ago
Metabolica: A statistical research tool for analyzing metabolic networks
Steady state flux balance analysis (FBA) for cellular metabolism is used, e.g., to seek information on the activity of the different pathways under equilibrium conditions, or as a...
Jenni Heino, Daniela Calvetti, Erkki Somersalo
ATAL
2005
Springer
16 years 5 days ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 6 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...