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120
Voted
ISCAS
2005
IEEE
15 years 9 months ago
2005
IEEE
—Support Vector Machines are emerging as a powerful machine-learning tool. Logarithmic Number Systems (LNS) utilize the property of logarithmic compression for numerical operatio...
135
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
129
Voted
DMIN
2006
15 years 5 months ago
2006
: For the characteristics of malfunction diagnose system a model to classify fault printing based on support vector machines is discussed. The printing malfunctions have many class...
136
Voted
JMLR
2008
15 years 3 months ago
2008
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
145
Voted
DSD
2004
IEEE
15 years 7 months ago
2004
IEEE
In this paper we present an analysis of the minimal hardware precision required to implement Support Vector Machine (SVM) classification within a Logarithmic Number System archite...