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DIS
2008
Springer
15 years 4 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
135
Voted
ESSOS
2009
Springer
15 years 10 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
FLAIRS
1998
15 years 4 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
121
Voted
ALT
2006
Springer
16 years 13 days 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
ALT
2008
Springer
16 years 13 days 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