Predicting future resource demand in Cloud Computing is essential for
ma...
In this study we propose a hybrid estimation of distribution algorithm (...
In this paper we combine the k-means and/or k-means type algorithms with...
This study combined simulated annealing with delta evaluation to solve t...
We propose denoising dictionary learning (DDL), a simple yet effective
t...
In this work we introduce declarative statistics, a suite of declarative...
Stochastic Constraint Programming (SCP) is an extension of Constraint
Pr...
We introduce the BIN_COUNTS constraint, which deals with the problem of
...
We introduce statistical constraints, a declarative modelling tool that ...
A recently identified problem is that of finding an optimal investment p...
In this work we introduce a novel approach, based on sampling, for findi...
Stochastic local search (SLS) has been an active field of research in th...