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PR
2007
104views more  PR 2007»
13 years 8 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
DEXA
2010
Springer
187views Database» more  DEXA 2010»
13 years 6 months ago
Pivot Selection Method for Optimizing both Pruning and Balancing in Metric Space Indexes
We researched to try to find a way to reduce the cost of nearest neighbor searches in metric spaces. Many similarity search indexes recursively divide a region into subregions by u...
Hisashi Kurasawa, Daiji Fukagawa, Atsuhiro Takasu,...
TCSV
2010
13 years 3 months ago
Dual Frame Motion Compensation With Optimal Long-Term Reference Frame Selection and Bit Allocation
In dual frame motion compensation (DFMC), one short-term reference frame and one long-term reference frame (LTR) are utilized for motion compensation. The performance of DFMC is he...
Da Liu, Debin Zhao, Xiangyang Ji, Wen Gao
BMCBI
2007
174views more  BMCBI 2007»
13 years 8 months ago
Normalization method for metabolomics data using optimal selection of multiple internal standards
Background: Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific so...
Marko Sysi-Aho, Mikko Katajamaa, Laxman Yetukuri, ...
BMCBI
2011
13 years 3 months ago
ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring
Background: Since its inception, proteomics has essentially operated in a discovery mode with the goal of identifying and quantifying the maximal number of proteins in a sample. I...
Mi-Youn K. Brusniak, Sung-Tat Kwok, Mark Christian...