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» Learning Rules to Improve a Machine Translation System
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138
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ATAL
2005
Springer
15 years 9 months ago
Multiagent simulation of learning environments
One of the key issues in designing appropriate and effective learning environments is understanding how learners advance and what factors contribute to their progress. This holds...
Elizabeth Sklar, Mathew Davies
129
Voted
JCIT
2008
124views more  JCIT 2008»
15 years 3 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
145
Voted
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 10 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
118
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ICALT
2007
IEEE
15 years 5 months ago
An Ontological Approach for Semantic Learning Objects Interoperability
This paper presents a semantic-aware classification algorithm that can leverage the interoperability among semantically heterogeneous learning object repositories using different ...
Ming-Che Lee, Kun Hua Tsai, Tung Cheng Hsieh, Ti K...
125
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DATAMINE
2006
117views more  DATAMINE 2006»
15 years 3 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...