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ECML
2001
Springer
15 years 2 months ago
Classification on Data with Biased Class Distribution
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Slobodan Vucetic, Zoran Obradovic
BMCBI
2006
112views more  BMCBI 2006»
14 years 10 months ago
Protein disorder prediction by condensed PSSM considering propensity for order or disorder
Background: More and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that dis...
Chung-Tsai Su, Chien-Yu Chen, Yu-Yen Ou
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 10 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
KAIS
2006
87views more  KAIS 2006»
14 years 10 months ago
Improving the performance of 1D object classification by using the Electoral College
Abstract It has been proven that districted matching schemes (e.g., the US presidential election scheme, also called the Electoral College) are more stable than undistricted matchi...
Liang Chen, Ruoyu Chen, Sharmin Nilufar
SBACPAD
2006
IEEE
102views Hardware» more  SBACPAD 2006»
15 years 4 months ago
Ultra-Fast CPU Performance Prediction: Extending the Monte Carlo Approach
Performance evaluation of contemporary processors is becoming increasingly difficult due to the lack of proper frameworks. Traditionally, cycle-accurate simulators have been exte...
Ram Srinivasan, Jeanine Cook, Olaf M. Lubeck