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» Measuring and Predicting Object Importance
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EMO
2005
Springer
175views Optimization» more  EMO 2005»
14 years 2 months ago
A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume
We present a new analysis of the LebMeasure algorithm for calculating hypervolume. We prove that although it is polynomial in the number of points, LebMeasure is exponential in the...
R. Lyndon While
ECCV
2010
Springer
14 years 1 months ago
Optimizing Complex Loss Functions in Structured Prediction
Abstract. In this paper we develop an algorithm for structured prediction that optimizes against complex performance measures, those which are a function of false positive and fals...
ISQED
2002
IEEE
105views Hardware» more  ISQED 2002»
14 years 1 months ago
Measurement of Inherent Noise in EDA Tools
With advancing semiconductor technology and exponentially growing design complexities, predictability of design tools becomes an important part of a stable top-down design process...
Andrew B. Kahng, Stefanus Mantik
IPPS
2003
IEEE
14 years 1 months ago
Grid Harvest Service: A System for Long-Term, Application-Level Task Scheduling
With the emergence of grid computing environment, performance measurement, analysis and prediction of non-dedicated distributed systems have become increasingly important. In this...
Xian-He Sun, Ming Wu
IJCAI
2007
13 years 10 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling