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BMCBI
2008
220views more  BMCBI 2008»
15 years 2 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
150
Voted
CORR
2008
Springer
193views Education» more  CORR 2008»
15 years 2 months ago
Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene vi...
Edward Rosten, Reid Porter, Tom Drummond
131
Voted
BMCBI
2008
141views more  BMCBI 2008»
15 years 2 months ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki
132
Voted
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
15 years 9 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
138
Voted
IJON
2007
184views more  IJON 2007»
15 years 2 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen