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» Performance modeling of component assemblies
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NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 3 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
154
Voted
TCBB
2008
126views more  TCBB 2008»
15 years 3 months ago
Graphical Models of Residue Coupling in Protein Families
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
John Thomas, Naren Ramakrishnan, Chris Bailey-Kell...
161
Voted
SIGIR
2012
ACM
13 years 6 months ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet
139
Voted
EMSOFT
2006
Springer
15 years 7 months ago
Modeling a system controller for timing analysis
Upper bounds on worst-case execution times, which are commonly called WCET, are a prerequisite for validating the temporal correctness of tasks in a real-time system. Due to the e...
Stephan Thesing
139
Voted
FGR
2004
IEEE
167views Biometrics» more  FGR 2004»
15 years 7 months ago
Adaptive Learning of an Accurate Skin-Color Model
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
Qiang Zhu, Kwang-Ting Cheng, Ching-Tung Wu, Yi-Leh...