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SIGIR
2006
ACM
16 years 12 days ago
Statistical precision of information retrieval evaluation
We introduce and validate bootstrap techniques to compute confidence intervals that quantify the effect of test-collection variability on average precision (AP) and mean average...
Gordon V. Cormack, Thomas R. Lynam
ENC
2005
IEEE
16 years 1 days ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...
SIGIR
2003
ACM
15 years 11 months ago
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
We present a non-traditional retrieval problem we call subtopic retrieval. The subtopic retrieval problem is concerned with finding documents that cover many different subtopics ...
ChengXiang Zhai, William W. Cohen, John D. Laffert...
IJCAI
2007
15 years 7 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
FORTE
2000
15 years 7 months ago
Systematic Performance Evaluation of Multipoint Protocols
The adventof multipoint(multicast-based) applications and the growth and complexity of the Internet has complicated network protocol design and evaluation. In this paper, we prese...
Ahmed Helmy, Sandeep K. S. Gupta, Deborah Estrin, ...