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» Evaluating algorithms that learn from data streams
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GIS
1998
ACM
15 years 6 months ago
Accuracy of Local Topographic Variables Derived from Digital Elevation Models
We study the accuracy of data on some local topographic attributes derived from digital elevation models (DEMs). First, we carry out a test for the precision of four methods for ca...
Igor v. Florinsky
PAAMS
2010
Springer
15 years 4 months ago
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a con...
Juan Luis Olmo, Jose María Luna, José...
ACMSE
2004
ACM
16 years 7 days ago
Implementing the TEA algorithm on sensors
Sensors are tiny computers with limited computational capability and physical resources. The implementation of secure protocols for sensor network is a big challenge. In order to ...
Shuang Liu, Olga V. Gavrylyako, Phillip G. Bradfor...
ITICSE
2004
ACM
16 years 7 days ago
Generation as method for explorative learning in computer science education
The use of generic and generative methods for the development and application of interactive educational software is a relatively unexplored area in industry and education. Advant...
Andreas Kerren
ICIP
2010
IEEE
15 years 4 months ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...