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PVM
2009
Springer
15 years 9 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
ICALT
2005
IEEE
15 years 8 months ago
Modeling of Process-Oriented Learning Designs
Process-oriented learning designs (POLD) are used to describe innovative teaching activities (processes) that can be generalised and used across different disciplines. This paper ...
Olivera Marjanovic
ICIP
2001
IEEE
16 years 4 months ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang
ECML
2005
Springer
15 years 8 months ago
Machine Learning of Plan Robustness Knowledge About Instances
Abstract. Classical planning domain representations assume all the objects from one type are exactly the same. But when solving problems in the real world systems, the execution of...
Sergio Jiménez, Fernando Fernández, ...
IJCAI
1997
15 years 3 months ago
Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems
This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is...
G. M. Shiraz, Claude Sammut