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IJCNN
2008
IEEE
15 years 11 months ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
ICDE
2009
IEEE
90views Database» more  ICDE 2009»
15 years 11 months ago
Uncertain Location Based Range Aggregates in a Multi-dimensional Space
— Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. Recently, considerable research efforts have been put i...
Ying Zhang, Xuemin Lin, Yufei Tao, Wenjie Zhang
162
Voted
CEC
2009
IEEE
15 years 2 months ago
Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution
This paper studies the difference between Persistent Random Constants (PRC) and Digit Concatenation as methods for generating constants. It has been shown that certain problems hav...
Jonathan Byrne, Michael O'Neill, Erik Hemberg, Ant...
ICPPW
1999
IEEE
15 years 9 months ago
Design and Development of a Cooperative Shopping System with Shared Discussion Space
At current on-line shops, buyers almost independently enjoy shopping without anyone's help. However, there are many cases where they cooperate with people such as personal ad...
Takayuki Umeda, Hiroyuki Tarumi, Yahiko Kambayashi
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
16 years 5 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida