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» Adaptation to Drifting Concepts
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136
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ACML
2009
Springer
15 years 5 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
102
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ICPP
2000
IEEE
15 years 5 months ago
A Fault-Tolerant Adaptive and Minimal Routing Approach in n-D Meshes
In this paper a sufficient condition is given for minimal routing in n-dimensional (n-D) meshes with faulty nodes contained in a set of disjoint fault regions. It is based on an ...
Jie Wu
108
Voted
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 4 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
116
Voted
FIMI
2004
161views Data Mining» more  FIMI 2004»
15 years 2 months ago
ABS: Adaptive Borders Search of frequent itemsets
In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...
Frédéric Flouvat, Fabien De Marchi, ...
134
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IADIS
2004
15 years 2 months ago
Robo-Elc: A Robotic Adaptive Learning Appliance
This article describes a robotic adaptive learning appliance called Robo-eLC. The appliance is the result of a multidisciplinary approach which combines e-Learning and e-Commerce ...
Gaetano La Russa, Esko Marjomaa