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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 6 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
77
Voted
GI
2009
Springer
15 years 5 months ago
Detecting Real User Tasks by Training on Laboratory Contextual Attention Metadata
Abstract: Detecting the current task of a user is essential for providing her with contextualized and personalized support, and using Contextual Attention Metadata (CAM) can help d...
Andreas S. Rath, Didier Devaurs, Stefanie N. Linds...
116
Voted
AAAI
2006
15 years 2 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
108
Voted
IVA
2010
Springer
14 years 11 months ago
Using Artificial Team Members for Team Training in Virtual Environments
In a good team, members do not only perform their individual task, they also coordinate their actions with other members of the team. Developing such team skills usually involves e...
Jurriaan van Diggelen, Tijmen Muller, Karel van de...
MT
2010
88views more  MT 2010»
14 years 11 months ago
Metric and reference factors in minimum error rate training
In Minimum Error Rate Training (MERT), BLEU is often used as the error function, despite the fact that it has been shown to have a lower correlation with human judgment than other...
Yifan He, Andy Way