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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
BMCBI
2010
144views more  BMCBI 2010»
14 years 9 months ago
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
Background: Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the seque...
Daniel MacLean, Vincent Moulton, David J. Studholm...
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CN
2008
85views more  CN 2008»
14 years 9 months ago
Pollution attacks and defenses for Internet caching systems
Proxy caching servers are widely deployed in today's Internet. While cooperation among proxy caches can significantly improve a network's resilience to denial-ofservice ...
Leiwen Deng, Yan Gao, Yan Chen, Aleksandar Kuzmano...
CORR
2008
Springer
91views Education» more  CORR 2008»
14 years 9 months ago
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Namrata Vaswani
BMCBI
2006
152views more  BMCBI 2006»
14 years 9 months ago
A two-stage approach for improved prediction of residue contact maps
Background: Protein topology representations such as residue contact maps are an important intermediate step towards ab initio prediction of protein structure. Although improvemen...
Alessandro Vullo, Ian Walsh, Gianluca Pollastri