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» Learning from Multiple Sources of Inaccurate Data
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BMCBI
2007
129views more  BMCBI 2007»
15 years 3 months ago
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...
Carson M. Andorf, Drena Dobbs, Vasant Honavar
455
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ICA
2012
Springer
13 years 11 months ago
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study
Independent component analysis (ICA) is possibly the most widespread approach to solve the blind source separation (BSS) problem. Many different algorithms have been proposed, tog...
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vig&a...
145
Voted
CADUI
2006
15 years 4 months ago
Remote Web Usability Evaluation Exploiting Multimodal Information On User Behavior
Abstract In this paper we describe MultiModal WebRemUsine, a tool for remote usability evaluation of Web sites that considers data regarding the user behaviour coming from multiple...
Fabio Paternò, Angela Piruzza, Carmen Santo...
132
Voted
ICONIP
2008
15 years 4 months ago
A Novel Approach for Hardware Based Sound Classification
Several applications would emerge from the development of efficient and robust sound classification systems able to identify the nature of non-speech sound sources. This paper prop...
Mauricio Kugler, Victor Alberto Parcianello Benso,...
165
Voted
NIPS
2007
15 years 4 months ago
Mining Internet-Scale Software Repositories
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...