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EC
2008
164views ECommerce» more  EC 2008»
15 years 4 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 4 months ago
Discovering Classification from Data of Multiple Sources
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
Charles X. Ling, Qiang Yang
EC
2007
167views ECommerce» more  EC 2007»
15 years 4 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
EC
2007
101views ECommerce» more  EC 2007»
15 years 4 months ago
Revisiting Negative Selection Algorithms
This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to ...
Zhou Ji, Dipankar Dasgupta
SIGECOM
2008
ACM
81views ECommerce» more  SIGECOM 2008»
15 years 4 months ago
Self-financed wagering mechanisms for forecasting
We examine a class of wagering mechanisms designed to elicit truthful predictions from a group of people without requiring any outside subsidy. We propose a number of desirable pr...
Nicolas S. Lambert, John Langford, Jennifer Wortma...