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» Classifier Selection Based on Data Complexity Measures
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IPSN
2010
Springer
15 years 2 months ago
Practical modeling and prediction of radio coverage of indoor sensor networks
The robust operation of many sensor network applications depends on deploying relays to ensure wireless coverage. Radio mapping aims to predict network coverage based on a small n...
Octav Chipara, Gregory Hackmann, Chenyang Lu, Will...
ESWA
2007
151views more  ESWA 2007»
14 years 10 months ago
A novel feature selection algorithm for text categorization
With the development of the web, large numbers of documents are available on the Internet. Digital libraries, news sources and inner data of companies surge more and more. Automat...
Wenqian Shang, Houkuan Huang, Haibin Zhu, Yongmin ...
EUROPAR
2007
Springer
15 years 4 months ago
Decision Trees and MPI Collective Algorithm Selection Problem
Selecting the close-to-optimal collective algorithm based on the parameters of the collective call at run time is an important step for achieving good performance of MPI applicatio...
Jelena Pjesivac-Grbovic, George Bosilca, Graham E....
WPES
2004
ACM
15 years 3 months ago
Assessing global disclosure risk in masked microdata
In this paper, we introduce a general framework for microdata and three disclosure risk measures (minimal, maximal and weighted). We classify the attributes from a given microdata...
Traian Marius Truta, Farshad Fotouhi, Daniel C. Ba...
ISLPED
1999
ACM
100views Hardware» more  ISLPED 1999»
15 years 2 months ago
Selective instruction compression for memory energy reduction in embedded systems
We propose a technique for reducing the energy required by rmware code to execute on embedded systems. The method is based on the idea of compressing the most commonly executed in...
Luca Benini, Alberto Macii, Enrico Macii, Massimo ...