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NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 10 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
BMCBI
2005
156views more  BMCBI 2005»
13 years 10 months ago
DynGO: a tool for visualizing and mining of Gene Ontology and its associations
Background: A large volume of data and information about genes and gene products has been stored in various molecular biology databases. A major challenge for knowledge discovery ...
Hongfang Liu, Zhang-Zhi Hu, Cathy H. Wu
JOC
2007
133views more  JOC 2007»
13 years 10 months ago
Trapdoor Hard-to-Invert Group Isomorphisms and Their Application to Password-Based Authentication
In the security chain the weakest link is definitely the human one: human beings cannot remember long secrets and often resort to rather insecure solutions to keep track of their ...
Dario Catalano, David Pointcheval, Thomas Pornin
BMCBI
2002
133views more  BMCBI 2002»
13 years 10 months ago
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
Background: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include ...
Kevin Truong, Mitsuhiko Ikura
CVPR
2006
IEEE
15 years 6 days ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán