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LION
2009
Springer
129views Optimization» more  LION 2009»
16 years 21 days ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
LATA
2010
Springer
16 years 19 days ago
Extending Stochastic Context-Free Grammars for an Application in Bioinformatics
We extend stochastic context-free grammars such that the probability of applying a production can depend on the length of the subword that is generated from the application and sho...
Frank Weinberg, Markus E. Nebel
CCGRID
2007
IEEE
16 years 15 days ago
Profiling Computation Jobs in Grid Systems
The existence of good probabilistic models for the job arrival process and job characteristics is important for the improved understanding of grid systems and the prediction of th...
Michael Oikonomakos, Kostas Christodoulopoulos, Em...
ICMCS
2007
IEEE
146views Multimedia» more  ICMCS 2007»
16 years 14 days ago
A Max Margin Framework on Image Annotation and Multimodal Image Retrieval
This paper presents a max margin framework on image annotation and multimodal image retrieval as a structured prediction model. Following the max margin approach the image retriev...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
IJCNN
2007
IEEE
16 years 14 days ago
A Cell Assembly Model of Sequential Memory
—Perception, prediction and generation of sequences is a fundamental aspect of human behavior and depends on the ability to detect serial order. This paper presents a plausible m...
Hina Ghalib, Christian R. Huyck