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HIS
2007
15 years 8 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
ACL2
2006
ACM
16 years 1 months ago
A verifying core for a cryptographic language compiler
A verifying compiler is one that emits both object code and a proof of correspondence between object and source code.1 We report the use of ACL2 in building a verifying compiler f...
Lee Pike, Mark Shields, John Matthews
DGO
2008
170views Education» more  DGO 2008»
15 years 8 months ago
Natural language processing and e-Government: crime information extraction from heterogeneous data sources
Much information that could help solve and prevent crimes is never gathered because the reporting methods available to citizens and law enforcement personnel are not optimal. Dete...
Chih Hao Ku, Alicia Iriberri, Gondy Leroy
ECTEL
2009
Springer
16 years 1 months ago
Phantom Tasks and Invisible Rubric: The Challenges of Remixing Learning Objects in the Wild
Learning Objects are atomic packages of learning content with associated activities that can be reused in different contexts. However traditional Learning Objects can be complex an...
David E. Millard, Yvonne Margaret Howard, Patrick ...
CSL
2008
Springer
15 years 7 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos