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ICMLA
2009
13 years 5 months ago
Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems
Exergy is a way to sustainable development and may be defined as the maximum theoretical useful work, while exergy analysis identifies the sources, the magnitude and the causes of...
Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli
ICML
2003
IEEE
14 years 8 months ago
Principled Methods for Advising Reinforcement Learning Agents
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
13 years 9 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
DCC
2006
IEEE
14 years 7 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
ECIR
2007
Springer
13 years 9 months ago
Automatic Morphological Query Expansion Using Analogy-Based Machine Learning
Information retrieval systems (IRSs) usually suffer from a low ability to recognize a same idea that is expressed in different forms. A way of improving these systems is to take ...
Fabienne Moreau, Vincent Claveau, Pascale Sé...