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» Dynamic power management using machine learning
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VLDB
2002
ACM
110views Database» more  VLDB 2002»
14 years 11 months ago
Extending an ORDBMS: The StateMachine Module
Extensibility is one of the mayor benefits of object-relational database management systems. We have used this system property to implement a StateMachine Module inside an object-...
Wolfgang Mahnke, Christian Mathis, Hans-Peter Stei...
ICALT
2007
IEEE
15 years 6 months ago
The Web 2.0 Driven SECI Model Based Learning Process
Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...
Mohamed Amine Chatti, Ralf Klamma, Matthias Jarke,...
ICML
1998
IEEE
16 years 19 days ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Ricardo Aler, Daniel Borrajo, Pedro Isasi
CIT
2004
Springer
15 years 3 months ago
BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform
Abstract. In this paper we introduce BioPubMiner, a machine learning component-based platform for biomedical information analysis. BioPubMiner employs natural language processing t...
Jae-Hong Eom, Byoung-Tak Zhang
JIIS
2000
120views more  JIIS 2000»
14 years 11 months ago
Machine Learning for Intelligent Processing of Printed Documents
Abstract. A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In ...
Floriana Esposito, Donato Malerba, Francesca A. Li...