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KDD
2002
ACM
106views Data Mining» more  KDD 2002»
16 years 6 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
ECAI
2006
Springer
15 years 10 months ago
Auction Mechanisms for Efficient Advertisement Selection on Public Displays
Public electronic displays can be used as an advertising medium when space is a scarce resource, and it is desirable to expose many adverts to as wide an audience as possible. Alth...
Terry R. Payne, Esther David, Nicholas R. Jennings...
BMCBI
2007
124views more  BMCBI 2007»
15 years 6 months ago
BranchClust: a phylogenetic algorithm for selecting gene families
Background: Automated methods for assembling families of orthologous genes include those based on sequence similarity scores and those based on phylogenetic approaches. The first ...
Maria S. Poptsova, J. Peter Gogarten
JMLR
2008
100views more  JMLR 2008»
15 years 6 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 6 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