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137
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ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
15 years 8 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
118
Voted
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 8 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 8 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
ISLPED
2004
ACM
124views Hardware» more  ISLPED 2004»
15 years 8 months ago
The design of a low power asynchronous multiplier
In this paper we investigate the statistics of multiplier operands and identify two characteristics of their distribution that have important consequences for the design of low po...
Yijun Liu, Stephen B. Furber
125
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CIVR
2003
Springer
126views Image Analysis» more  CIVR 2003»
15 years 7 months ago
Learning in Region-Based Image Retrieval
In this paper, several effective learning algorithms using global image representations are adjusted and introduced to region-based image retrieval (RBIR). First, the query point m...
Feng Jing, Mingjing Li, Lei Zhang, HongJiang Zhang...