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ICML
1994
IEEE
15 years 6 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
120
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EVOW
2003
Springer
15 years 8 months ago
Landscape State Machines: Tools for Evolutionary Algorithm Performance Analyses and Landscape/Algorithm Mapping
Abstract. Many evolutionary algorithm applications involve either fitness functions with high time complexity or large dimensionality (hence very many fitness evaluations will typi...
David Corne, Martin J. Oates, Douglas B. Kell
101
Voted
JUCS
2008
119views more  JUCS 2008»
15 years 2 months ago
A Standards-based Modelling Approach for Dynamic Generation of Adaptive Learning Scenarios
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
Jesus Boticario, Olga C. Santos
127
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ISORC
2009
IEEE
15 years 9 months ago
Embedded JIT Compilation with CACAO on YARI
Java is one of the most popular programming languages for the development of portable workstation and server applications available today. Because of its clean design and typesafe...
Florian Brandner, Tommy Thorn, Martin Schoeberl
122
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KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 8 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau