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AIPS
2006
15 years 5 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
IJON
2006
111views more  IJON 2006»
15 years 4 months ago
Dynamic pruning algorithm for multilayer perceptron based neural control systems
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
Jie Ni, Qing Song
CORR
2011
Springer
358views Education» more  CORR 2011»
14 years 11 months ago
Time-Varying Graphs and Social Network Analysis: Temporal Indicators and Metrics
Abstract. Most instruments - formalisms, concepts, and metrics for social networks analysis fail to capture their dynamics. Typical systems exhibit different scales of dynamics, ra...
Nicola Santoro, Walter Quattrociocchi, Paola Flocc...
126
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MMAS
2010
Springer
14 years 10 months ago
Simplified Modelling of a Thermal Bath, with Application to a Fluid Vortex System
Based on the thermodynamic concept of a reservoir, we investigate a computational model for interaction with unresolved degrees of freedom (a thermal bath). We assume that a finite...
Svetlana Dubinkina, Jason Frank, Ben Leimkuhler
CORR
2012
Springer
205views Education» more  CORR 2012»
13 years 11 months ago
Pricing Data: A Look at Past Proposals, Current Plans, and Future Trends
Traditionally, network operators have only used simple flat-rate unlimited data plans to vie for customers. But today, with the popularity of mobile devices and exponential growt...
Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chia...