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02/24/2023
Uncertainty-Aware Workload Prediction in Cloud Computing
Predicting future resource demand in Cloud Computing is essential for ma...
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01/09/2022
A hybrid estimation of distribution algorithm for joint stratification and sample allocation
In this study we propose a hybrid estimation of distribution algorithm (...
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08/18/2021
Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs
In this paper we combine the k-means and/or k-means type algorithms with...
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11/25/2020
A Simulated Annealing Algorithm for Joint Stratification and Sample Allocation Designs
This study combined simulated annealing with delta evaluation to solve t...
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01/07/2018
Denoising Dictionary Learning Against Adversarial Perturbations
We propose denoising dictionary learning (DDL), a simple yet effective t...
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08/06/2017
Declarative Statistics
In this work we introduce declarative statistics, a suite of declarative...
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04/24/2017
Stochastic Constraint Programming as Reinforcement Learning
Stochastic Constraint Programming (SCP) is an extension of Constraint Pr...
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11/28/2016
The BIN_COUNTS Constraint: Filtering and Applications
We introduce the BIN_COUNTS constraint, which deals with the problem of ...
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02/20/2014
Statistical Constraints
We introduce statistical constraints, a declarative modelling tool that ...
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07/27/2012
Earthquake Scenario Reduction by Symmetry Reasoning
A recently identified problem is that of finding an optimal investment p...
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10/09/2011
Confidence-based Reasoning in Stochastic Constraint Programming
In this work we introduce a novel approach, based on sampling, for findi...
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10/07/2009
