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» Optimal spontaneous activity in neural network modeling
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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 28 days ago
A new evolutionary method for time series forecasting
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paul...
CORR
2008
Springer
208views Education» more  CORR 2008»
13 years 7 months ago
Equilibria, Fixed Points, and Complexity Classes
Many models from a variety of areas involve the computation of an equilibrium or fixed point of some kind. Examples include Nash equilibria in games; market equilibria; computing o...
Mihalis Yannakakis
ADHOC
2010
317views more  ADHOC 2010»
13 years 4 months ago
Simple ant routing algorithm strategies for a (Multipurpose) MANET model
A Mobile Ad-hoc Network has limited and scarce resources and thus routing protocols in such environments must be kept as simple as possible. The Simple Ant Routing Algorithm (SARA...
Fernando Correia, Teresa Vazão
MOBISYS
2007
ACM
14 years 7 months ago
Algorithm to automatically detect abnormally long periods of inactivity in a home
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
Paul Cuddihy, Jenny Weisenberg, Catherine Graichen...
IMC
2007
ACM
13 years 9 months ago
On optimal probing for delay and loss measurement
Packet delay and loss are two fundamental measures of performance. Using active probing to measure delay and loss typically involves sending Poisson probes, on the basis of the PA...
François Baccelli, Sridhar Machiraju, Darry...