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DIS
2008
Springer
15 years 1 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel
ESSOS
2009
Springer
15 years 7 months ago
Protection Poker: Structuring Software Security Risk Assessment and Knowledge Transfer
Discovery of security vulnerabilities is on the rise. As a result, software development teams must place a higher priority on preventing the injection of vulnerabilities in softwar...
Laurie Williams, Michael Gegick, Andrew Meneely
79
Voted
FLAIRS
1998
15 years 2 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
98
Voted
ALT
2006
Springer
15 years 9 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
105
Voted
ALT
2008
Springer
15 years 9 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire