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» Learning to rank networked entities
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CIDM
2009
IEEE
14 years 17 days ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
AINA
2005
IEEE
13 years 11 months ago
iHITS: Extending HITS for Personal Interests Profiling
Ever since the boom of World Wide Web, profiling online users' interests has become an important task for content providers. The traditional approach involves manual entry of...
Ziming Zhuang
WWW
2008
ACM
14 years 6 months ago
As we may perceive: finding the boundaries of compound documents on the web
This paper considers the problem of identifying on the Web compound documents (cDocs) ? groups of web pages that in aggregate constitute semantically coherent information entities...
Pavel Dmitriev
HIS
2004
13 years 7 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
CLEF
2010
Springer
13 years 7 months ago
A Cluster-Based Plagiarism Detection Method - Lab Report for PAN at CLEF 2010
In this paper we describe a cluster-based plagiarism detection method, which we have used in the learning management system of SCUT to detect plagiarism in the network engineering ...
Du Zou, Wei-jiang Long, Zhang Ling