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ICCV
2005
IEEE
14 years 2 months ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
ICTAI
2006
IEEE
14 years 2 months ago
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...
Daniel Stronger, Peter Stone
PVM
2007
Springer
14 years 2 months ago
An Extensible Framework for Distributed Testing of MPI Implementations
Complex code bases require continual testing to ensure that both new development and routine maintenance do not create unintended side effects. Automation of regression testing is...
Joshua Hursey, Ethan Mallove, Jeffrey M. Squyres, ...
CHI
2004
ACM
14 years 9 months ago
Regressions re-visited: a new definition for the visual display paradigm
We revisit the definition of regressions in eye tracking, having found existing definitions, formulated within a reading paradigm, unsuitable for visual display assessment. The ne...
James A. Renshaw, Janet Finlay, David A. Tyfa, Rob...
ISDA
2009
IEEE
14 years 3 months ago
Evaluation Measures for Ordinal Regression
—Ordinal regression (OR – also known as ordinal classification) has received increasing attention in recent times, due to its importance in IR applications such as learning to...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...