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JETAI
2010
56views more  JETAI 2010»
14 years 8 months ago
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning
Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...
Chris Drummond, Nathalie Japkowicz
121
Voted
MLMI
2004
Springer
15 years 3 months ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...
54
Voted
IDEAL
2009
Springer
15 years 4 months ago
Improving Energy Efficiency in Buildings Using Machine Intelligence
Improving the detection of thermal insulation in buildings –which includes the development of models for heating and ventilation processes and fabric gain - could significantly i...
Javier Sedano, José Ramón Villar, Le...
PVM
2009
Springer
15 years 4 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...
139
Voted
ICIP
2001
IEEE
15 years 12 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