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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 12 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
EMSOFT
2004
Springer
14 years 23 days ago
Practical PACE for embedded systems
In current embedded systems, one of the major concerns is energy conservation. The dynamic voltage-scheduling (DVS) framework, which involves dynamically adjusting the voltage and...
Ruibin Xu, Chenhai Xi, Rami G. Melhem, Daniel Moss...
ISPW
2007
IEEE
14 years 1 months ago
Comparative Experiences with Electronic Process Guide Generator Tools
The primary objective of all software engineering courses is to help students learn how to develop successful software systems with good software engineering practices. Various too...
Monvorath Phongpaibul, Supannika Koolmanojwong, Al...
BMCBI
2011
12 years 11 months ago
Computable visually observed phenotype ontological framework for plants
Background: The ability to search for and precisely compare similar phenotypic appearances within and across species has vast potential in plant science and genetic research. The ...
Jaturon Harnsomburana, Jason M. Green, Adrian S. B...
ACMDIS
2004
ACM
14 years 24 days ago
The information discovery framework
This paper continues the movement from technology centered to human centered approaches in the study of tasks that involve finding, understanding, and using information, and tools...
Andruid Kerne, Steven M. Smith