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CONCUR
2009
Springer
13 years 5 months ago
On Convergence of Concurrent Systems under Regular Interactions
Convergence is often the key liveness property for distributed systems that interact with physical processes. Techniques for proving convergence (asymptotic stability) have been ex...
Pavithra Prabhakar, Sayan Mitra, Mahesh Viswanatha...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 1 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
JMLR
2010
119views more  JMLR 2010»
13 years 2 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 1 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
APPROX
2007
Springer
153views Algorithms» more  APPROX 2007»
14 years 2 months ago
Distribution-Free Testing Lower Bounds for Basic Boolean Functions
: In the distribution-free property testing model, the distance between functions is measured with respect to an arbitrary and unknown probability distribution D over the input dom...
Dana Glasner, Rocco A. Servedio