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107
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BMCBI
2006
142views more  BMCBI 2006»
15 years 15 days ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
95
Voted
KAIS
2006
111views more  KAIS 2006»
15 years 12 days ago
Real-time classification of variable length multi-attribute motions
Multi-attribute motion data can be generated in many applications/ devices, such as motion capture devices and animations. It can have dozens of attributes, thousands of rows, and ...
Chuanjun Li, Latifur Khan, Balakrishnan Prabhakara...
AAAI
2011
14 years 14 days ago
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
Yu-Feng Li, Zhi-Hua Zhou
104
Voted
DAC
2004
ACM
15 years 4 months ago
Implicit pseudo boolean enumeration algorithms for input vector control
In a CMOS combinational logic circuit, the subthreshold leakage current in the standby state depends on the state of the inputs. In this paper we present a new approach to identif...
Kaviraj Chopra, Sarma B. K. Vrudhula
75
Voted
ICANN
2007
Springer
15 years 6 months ago
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Jochen Kerdels, Gabriele Peters