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ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
16 years 1 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
ECTEL
2007
Springer
16 years 28 days ago
T-learning Approach: Enhancing Video with Active Elements
T-learning courses are an effective way of education, but their creation is a time-consuming and expensive activity. We explain the process of t-learning courses development as it ...
Kamila Olsevicova, Hana Rohrova, Jaroslava Mikulec...
ICCBR
2007
Springer
16 years 28 days ago
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
Thomas Gabel, Martin Riedmiller
IDA
2007
Springer
16 years 28 days ago
Combining Bagging and Random Subspaces to Create Better Ensembles
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
Pance Panov, Saso Dzeroski
IWSEC
2007
Springer
16 years 27 days ago
Accredited Symmetrically Private Information Retrieval
Abstract. With the digitization of society and the continuous migration of services to the electronic world, individuals have lost significant control over their data. In this pap...
Mohamed Layouni