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PRL
2008
118views more  PRL 2008»
15 years 6 months ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
FSTTCS
2010
Springer
15 years 4 months ago
Minimizing Busy Time in Multiple Machine Real-time Scheduling
We consider the following fundamental scheduling problem. The input consists of n jobs to be scheduled on a set of machines of bounded capacities. Each job is associated with a re...
Rohit Khandekar, Baruch Schieber, Hadas Shachnai, ...
JMLR
2010
152views more  JMLR 2010»
15 years 1 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
AMAI
2004
Springer
15 years 12 months ago
Biased Minimax Probability Machine for Medical Diagnosis
The Minimax Probability Machine (MPM) constructs a classifier, which provides a worst-case bound on the probability of misclassification of future data points based on reliable ...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
IPPS
2003
IEEE
15 years 11 months ago
Dynamically Loaded Classes as Shared Libraries: An Approach to Improving Virtual Machine Scalability
Sharing selected data structures among virtual machines of a safe language can improve resource utilization of each participating run-time system. The challenge is to determine wh...
Bernard Wong, Grzegorz Czajkowski, Laurent Dayn&eg...