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CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 1 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
ACIVS
2008
Springer
14 years 11 months ago
An Evaluation Methodology for Image Mosaicing Algorithms
Several image mosaicing algorithms claiming to advance the state of the art have been proposed so far. Though sometimes improvements can be recognised without quantitative evidence...
Pietro Azzari, Luigi di Stefano, Stefano Mattoccia
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
15 years 10 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
86
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SIGIR
2004
ACM
15 years 3 months ago
Evaluating high accuracy retrieval techniques
Although information retrieval research has always been concerned with improving the effectiveness of search, in some applications, such as information analysis, a more specific ...
Chirag Shah, W. Bruce Croft
SIGMOD
2007
ACM
146views Database» more  SIGMOD 2007»
15 years 9 months ago
Distributed query evaluation with performance guarantees
Partial evaluation has recently proven an effective technique for evaluating Boolean XPath queries over a fragmented tree that is distributed over a number of sites. What left ope...
Gao Cong, Wenfei Fan, Anastasios Kementsietsidis