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» Multiple regression with fuzzy data
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ICANN
2011
Springer
13 years 1 months ago
Learning from Multiple Annotators with Gaussian Processes
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
Perry Groot, Adriana Birlutiu, Tom Heskes
ISSRE
2000
IEEE
14 years 2 months ago
Evaluation of Regressive Methods for Automated Generation of Test Trajectories
Automated generation of test cases is a prerequisite for fast testing. Whereas the research has addressed the creation of individual test points, test trajectoiy generation has at...
Brian J. Taylor, Bojan Cukic
TSMC
2010
13 years 4 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
14 years 3 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
MMM
2012
Springer
294views Multimedia» more  MMM 2012»
12 years 5 months ago
A Fuzzy Rank-Based Late Fusion Method for Image Retrieval
Rank-based fusion is indispensable in multiple search setups in lack of item retrieval scores, such as in meta-search with non-cooperative engines. We introduce a novel, simple, an...
Savvas A. Chatzichristofis, Konstantinos Zagoris, ...