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» Discovering Classification from Data of Multiple Sources
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TASLP
2010
134views more  TASLP 2010»
14 years 8 months ago
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) estimation for a mixture of harmonic sound sources, where the power spectrum of a time fra...
Zhiyao Duan, Bryan Pardo, Changshui Zhang
NSDI
2008
15 years 4 months ago
Studying Black Holes in the Internet with Hubble
We present Hubble, a system that operates continuously to find Internet reachability problems in which routes exist to a destination but packets are unable to reach the destinatio...
Ethan Katz-Bassett, Harsha V. Madhyastha, John P. ...
FLAIRS
2001
15 years 3 months ago
Spatial Reasoning for Information Brokering
The World Wide Webprovides new opportunities for collecting information from distributed, multiple, and heterogeneous data sources. Information brokering can bc used to provide co...
Heiner Stuckenschmidt, Christoph Schlieder, Ubbo V...
CAISE
2006
Springer
15 years 5 months ago
Information Sharing for the Semantic Web -a Schema Transformation Approach
Abstract. This paper proposes a framework for transforming and integrating heterogeneous XML data sources, making use of known correspondences from them to ontologies expressed in ...
Lucas Zamboulis, Alexandra Poulovassilis
159
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ESANN
2006
15 years 3 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...