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AUSAI
2004
Springer
14 years 1 months ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb
IJCNN
2006
IEEE
14 years 2 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
WWW
2009
ACM
14 years 9 months ago
Automatically assessing resource quality for educational digital libraries
With the rise of community-generated web content, the need for automatic assessment of resource quality has grown, particularly in the realm of educational digital libraries. We d...
Philipp G. Wetzler, Steven Bethard, Kirsten R. But...
ESANN
2008
13 years 9 months ago
GeoKernels: modeling of spatial data on geomanifolds
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
Alexei Pozdnoukhov, Mikhail F. Kanevski
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny