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GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
13 years 9 months ago
The impact of population size on code growth in GP: analysis and empirical validation
The crossover bias theory for bloat [18] is a recent result which predicts that bloat is caused by the sampling of short, unfit programs. This theory is clear and simple, but it ...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...
SIGMETRICS
2003
ACM
131views Hardware» more  SIGMETRICS 2003»
14 years 1 months ago
Classifying scheduling policies with respect to unfairness in an M/GI/1
It is common to evaluate scheduling policies based on their mean response times. Another important, but sometimes opposing, performance metric is a scheduling policy’s fairness....
Adam Wierman, Mor Harchol-Balter
CVPR
2004
IEEE
14 years 10 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
FLAIRS
2006
13 years 10 months ago
Constructing a Corpus-based Ontology Using Model Bias
Recent work in lexical resource construction has recognized the importance of contextualizing the knowledge in existing resources and ontologies with information derived from text...
Anna Rumshisky, Patrick Hanks, Catherine Havasi, J...
IMC
2009
ACM
14 years 3 months ago
Sampling biases in network path measurements and what to do about it
We show that currently prevalent practices for network path measurements can produce inaccurate inferences because of sampling biases. The inferred mean path latency can be more t...
Srikanth Kandula, Ratul Mahajan