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IPSN
2010
Springer
15 years 11 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
RECOMB
2009
Springer
15 years 11 months ago
Protein Fragment Swapping: A Method for Asymmetric, Selective Site-Directed Recombination
This paper presents a new approach to site-directed recombination, swapping combinations of selected discontiguous fragments from a source protein in place of corresponding fragmen...
Wei Zheng, Karl E. Griswold, Chris Bailey-Kellogg
ICDM
2007
IEEE
148views Data Mining» more  ICDM 2007»
15 years 8 months ago
Sample Selection for Maximal Diversity
The problem of selecting a sample subset sufficient to preserve diversity arises in many applications. One example is in the design of recombinant inbred lines (RIL) for genetic a...
Feng Pan, Adam Roberts, Leonard McMillan, David Th...
138
Voted
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 4 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
CIDM
2009
IEEE
15 years 11 months ago
Large-scale attribute selection using wrappers
Abstract— Scheme-specific attribute selection with the wrapper and variants of forward selection is a popular attribute selection technique for classification that yields good ...
Martin Gutlein, Eibe Frank, Mark Hall, Andreas Kar...