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» Adaptive Analysis of On-line Algorithms
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COMSWARE
2006
IEEE
14 years 1 months ago
Design keys to adapt web prefetching algorithms to environment conditions
— This paper focuses on the design process of web prefetching algorithms. The main goal of prefetching techniques in web is to reduce user perceived latency. Since these techniqu...
Josep Domènech, Julio Sahuquillo, Ana Pont,...
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 24 days ago
Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation
In order to handle classification problems with real-valued attributes using discretization algorithms it is necessary to obtain a good and reduced set of cut points in order to l...
Jaume Bacardit, Josep Maria Garrell i Guiu
TVLSI
2010
13 years 2 months ago
Bandwidth Adaptive Hardware Architecture of K-Means Clustering for Video Analysis
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Tse-Wei Chen, Shao-Yi Chien
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
14 years 1 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
SIGPRO
2008
151views more  SIGPRO 2008»
13 years 7 months ago
An adaptive penalized maximum likelihood algorithm
The LMS algorithm is one of the most popular learning algorithms for identifying an unknown system. Many variants of the algorithm have been developed based on different problem f...
Guang Deng, Wai-Yin Ng