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» Classifier Selection Based on Data Complexity Measures
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13 years 8 months ago
Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes
In this paper we address the problem of defining a measure of diversity for a population of individuals whose genome can be subjected to major reorganizations during the evolution...
Claudio Mattiussi, Markus Waibel, Dario Floreano
FLAIRS
2008
15 years 9 days ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
PAM
2005
Springer
15 years 3 months ago
A Merged Inline Measurement Method for Capacity and Available Bandwidth
— We have proposed a new TCP version, called ImTCP (Inline measurement TCP), in [1]. The ImTCP sender adjusts the transmission intervals of data packets, and then utilizes the ar...
Cao Le Thanh Man, Go Hasegawa, Masayuki Murata
ICIP
2009
IEEE
14 years 7 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler
ICN
2009
Springer
15 years 4 months ago
Measuring Route Diversity in the Internet from Remote Vantage Points
Recent works on modeling the Internet topology [8, 9] have highlighted how the complexity of relationships between Autonomous Systems (ASes) can not be oversimplified without sac...
Andrea Di Menna, Tiziana Refice, Luca Cittadini, G...