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» Test Case Prioritization: An Empirical Study
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AUSAI
2008
Springer
15 years 1 months ago
Revisiting Multiple-Instance Learning Via Embedded Instance Selection
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
James R. Foulds, Eibe Frank
ENTCS
2008
87views more  ENTCS 2008»
14 years 11 months ago
A Lightweight Approach for the Semantic Validation of Model Refinements
Model Driven Engineering proposes the use of models at different levels of ion. Step by step validation of model refinements is necessary to guarantee the correctness of the final ...
Claudia Pons, Diego García
ET
2007
67views more  ET 2007»
14 years 11 months ago
A Formal Analysis of Fault Diagnosis with D-matrices
As new approaches and algorithms are developed for system diagnosis, it is important to reflect on existing approaches to determine their strengths and weaknesses. Of concern is i...
John W. Sheppard, S. G. W. Butcher
TEC
2002
128views more  TEC 2002»
14 years 11 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
ICRA
2010
IEEE
92views Robotics» more  ICRA 2010»
14 years 10 months ago
Spatiotemporal path planning in strong, dynamic, uncertain currents
Abstract— This work addresses mission planning for autonomous underwater gliders based on predictions of an uncertain, time-varying current eld. Glider submersibles are highly se...
David R. Thompson, Steve Chien, Yi Chao, Peggy Li,...