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» Predictive Discretization During Model Selection
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ICIA
2007
13 years 7 months ago
Intent Recognition for Human-Robot Interaction
Effective human-robot cooperation requires robotic devices that understand human goals and intentions. We frame the problem of intent recognition as one of tracking and predicting...
Andreas G. Hofmann, Brian C. Williams
ICMLA
2008
13 years 6 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
QRE
2008
140views more  QRE 2008»
13 years 4 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
ISNN
2005
Springer
13 years 10 months ago
Support Vector Regression for Software Reliability Growth Modeling and Prediction
In this work, we propose to apply support vector regression (SVR) to build software reliability growth model (SRGM). SRGM is an important aspect in software reliability engineering...
Fei Xing, Ping Guo
COGSCI
2007
139views more  COGSCI 2007»
13 years 5 months ago
Mapping the Color Space of Saccadic Selectivity in Visual Search
Color coding is used to guide attention in computer displays for such critical tasks as baggage screening or air traffic control. It has been shown that a display object attracts...
Yun Xu, Emily C. Higgins, Mei Xiao, Marc Pomplun