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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 6 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
CORR
2000
Springer
99views Education» more  CORR 2000»
15 years 6 months ago
Adaptive simulated annealing (ASA): Lessons learned
Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can be sampled much more efficiently than by using othe...
Lester Ingber
ICIAR
2005
Springer
15 years 12 months ago
Scalable e-Learning Multimedia Adaptation Architecture
A neglected challenge in existing e-Learning (eL) systems is providing access to multimedia to all users regardless of environmental conditions such as diverse device capabilities,...
Mazen Almaoui, Konstantinos N. Plataniotis
NRHM
1998
124views more  NRHM 1998»
15 years 6 months ago
Adaptable and adaptive information provision for all users, including disabled and elderly people
: Due to the tremendously increasing popularity of the World-Wide Web, hypermedia is going to be the leading online information medium for some years to come and will most likely b...
Josef Fink, Alfred Kobsa, Andreas Nill
ASC
2011
15 years 1 months ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi