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ESANN
2006
14 years 11 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
USENIX
2004
14 years 11 months ago
Making the "Box" Transparent: System Call Performance as a First-Class Result
For operating system intensive applications, the ability of designers to understand system call performance behavior is essential to achieving high performance. Conventional perfo...
Yaoping Ruan, Vivek S. Pai
ALMOB
2006
110views more  ALMOB 2006»
14 years 9 months ago
Computing distribution of scale independent motifs in biological sequences
The use of Chaos Game Representation (CGR) or its generalization, Universal Sequence Maps (USM), to describe the distribution of biological sequences has been found objectionable ...
Jonas S. Almeida, Susana Vinga
ICCV
2009
IEEE
1184views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Learning Based Digital Matting
We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach and a g...
Yuanjie Zheng, Chandra Kambhamettu
CVPR
2001
IEEE
15 years 11 months ago
Small Sample Learning during Multimedia Retrieval using BiasMap
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...
Xiang Sean Zhou, Thomas S. Huang