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» Breeding Decision Trees Using Evolutionary Techniques
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AIR
2006
76views more  AIR 2006»
14 years 10 months ago
Evolved term-weighting schemes in Information Retrieval: an analysis of the solution space
Evolutionary computation techniques are increasingly being applied to problems within Information Retrieval (IR). Genetic programming (GP) has previously been used with some succe...
Ronan Cummins, Colm O'Riordan
129
Voted
ESANN
2004
14 years 11 months ago
Data Mining Techniques on the Evaluation of Wireless Churn
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
Jorge Ferreira, Marley B. R. Vellasco, Marco Aur&e...
89
Voted
BMCBI
2008
141views more  BMCBI 2008»
14 years 10 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
ICASSP
2010
IEEE
14 years 10 months ago
Language model adaptation using Random Forests
In this paper we investigate random forest based language model adaptation. Large amounts of out-of-domain data are used to grow the decision trees while very small amounts of in-...
Anoop Deoras, Frederick Jelinek, Yi Su
108
Voted
ATVA
2007
Springer
136views Hardware» more  ATVA 2007»
15 years 4 months ago
Symbolic Fault Tree Analysis for Reactive Systems
Fault tree analysis is a traditional and well-established technique for analyzing system design and robustness. Its purpose is to identify sets of basic events, called cut sets, wh...
Marco Bozzano, Alessandro Cimatti, Francesco Tappa...