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» A Comparative Evaluation of Name-Matching Algorithms
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AAAI
2012
11 years 10 months ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
LREC
2008
112views Education» more  LREC 2008»
13 years 9 months ago
A Ground Truth Dataset for Matching Culturally Diverse Romanized Person Names
This paper describes the development of a ground truth dataset of culturally diverse Romanized names in which approximately 70,000 names are matched against a subset of 700. We ra...
Mark Arehart, Keith J. Miller
JMLR
2010
194views more  JMLR 2010»
13 years 2 months ago
A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for Detecting Multiple Dependencies
Discovering the dependencies among the variables of a domain from examples is an important problem in optimization. Many methods have been proposed for this purpose, but few large...
Elham Salehi, Jayashree Nyayachavadi, Robin Gras
CIKM
2005
Springer
13 years 9 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari
RTSS
2006
IEEE
14 years 1 months ago
LITMUS^RT : A Testbed for Empirically Comparing Real-Time Multiprocessor Schedulers
We present a real-time, Linux-based testbed called LITMUSRT , which we have developed for empirically evaluating multiprocessor real-time scheduling algorithms. We also present th...
John M. Calandrino, Hennadiy Leontyev, Aaron Block...