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BMCBI
2006
169views more  BMCBI 2006»
13 years 10 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
CPHYSICS
2006
119views more  CPHYSICS 2006»
13 years 10 months ago
GDF: A tool for function estimation through grammatical evolution
This article introduces a tool for data fitting that is based on genetic programming and especially on the grammatical evolution technique. The user needs to input a series of poi...
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos D...
BMCBI
2007
102views more  BMCBI 2007»
13 years 10 months ago
A mixture of feature experts approach for protein-protein interaction prediction
High-throughput methods can directly detect the set of interacting proteins in yeast but the results are often incomplete and exhibit high false positive and false negative rates....
Yanjun Qi, Judith Klein-Seetharaman, Ziv Bar-Josep...
JMLR
2006
85views more  JMLR 2006»
13 years 10 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
AAAI
2011
12 years 10 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith