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» Classifier Selection Based on Data Complexity Measures
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BIBE
2007
IEEE
133views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Denoising of Array-Based DNA Copy Number Data Using The Dual-tree Complex Wavelet Transform
—Array-based comparative genomic hybridization (array CGH) is a highly efficient technique, allowing the simultaneous measurement of genomic DNA copy number at hundreds or thous...
Nha Nguyen, Heng Huang, Soontorn Oraintara, Yuhang...
TIP
2010
161views more  TIP 2010»
14 years 4 months ago
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
Across the field of inverse problems in image and video processing, nearly all algorithms have various parameters which need to be set in order to yield good results. In practice, ...
Xiang Zhu, Peyman Milanfar
AUTONOMICS
2009
ACM
15 years 4 months ago
Sensor Selection for IT Infrastructure Monitoring
Supervisory control is the main means to assure a high level performance and availability of large IT infrastructures. Applied control theory is used in physical and virtualization...
Gergely János Paljak, Imre Kocsis, Zolt&aac...
SSPR
2004
Springer
15 years 3 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
KDID
2004
137views Database» more  KDID 2004»
14 years 11 months ago
Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures
Emerging patterns (EPs) are associations of features whose frequencies increase significantly from one class to another. They have been proven useful to build powerful classifiers ...
Arnaud Soulet, Bruno Crémilleux, Fran&ccedi...