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» Feature selection in scientific applications
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ICCV
2003
IEEE
14 years 10 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 3 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
BMCBI
2011
13 years 5 days ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
CORR
2010
Springer
126views Education» more  CORR 2010»
13 years 8 months ago
Extending scientific computing system with structural quantum programming capabilities
We present the basic high-level structures used for developing quantum programming languages. The presented structures are commonly used in many existing quantum programming langua...
P. Gawron, Jerzy Klamka, J. A. Miszczak, Ryszard W...
DATASCIENCE
2007
88views more  DATASCIENCE 2007»
13 years 8 months ago
Detecting Family Resemblance: Automated Genre Classification
This paper presents results in automated genre classification of digital documents in PDF format. It describes genre classification as an important ingredient in contextualising s...
Yunhyong Kim, Seamus Ross