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BMCBI
2007
194views more  BMCBI 2007»
13 years 7 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
SIAMJO
2008
93views more  SIAMJO 2008»
13 years 7 months ago
Multivariable Utility Functions
Abstract. Utility functions of several variables are ubiquitous in economics. Their maximization requires inversion of the gradient map. Using convex analysis tools, we provide a r...
Maria B. Chiarolla, Ulrich G. Haussmann
ESOP
2010
Springer
14 years 4 months ago
A Grammar-based Approach to Invertible Programs
Abstract. Program inversion has many applications such as in the implementation of serialization/deserialization and in providing support for redo/undo, and has been studied by man...
Kazutaka Matsuda, Shin-Cheng Mu, Zhenjiang Hu and ...
DAS
2006
Springer
13 years 11 months ago
Combining Multiple Classifiers for Faster Optical Character Recognition
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
14 years 2 months ago
Inverse Kinematics without matrix inversion
– This paper presents a new singularity robust and computationally efficient method for solving the inverse kinematics (IK) problem. In this method, the transformation from Carte...
Alexandre N. Pechev