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ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 16 hour ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
13 years 12 months ago
Revisiting evolutionary algorithms with on-the-fly population size adjustment
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
Fernando G. Lobo, Cláudio F. Lima
AUTONOMICS
2007
ACM
13 years 10 months ago
Multi-hop broadcast from theory to reality: practical design for ad hoc networks
We propose a complete design for a scope limited, multihop broadcast middleware, which is adapted to the variability of the ad-hoc environment and works in unlimited ad-hoc networ...
Alaeddine El Fawal, Jean-Yves Le Boudec, Kav&eacut...
CSCW
2008
ACM
13 years 10 months ago
The microstructures of social tagging: a rational model
This article presents a rational model developed under the distributed cognition framework that explains how social tags influence knowledge acquisition and adaptation in explorat...
Wai-Tat Fu
DOLAP
2008
ACM
13 years 10 months ago
Data mining-based fragmentation of XML data warehouses
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail...
Hadj Mahboubi, Jérôme Darmont