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LION
2009
Springer
129views Optimization» more  LION 2009»
16 years 10 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...
152
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ICASSP
2011
IEEE
14 years 9 months ago
Syllabification of conversational speech using Bidirectional Long-Short-Term Memory Neural Networks
Segmentation of speech signals is a crucial task in many types of speech analysis. We present a novel approach at segmentation on a syllable level, using a Bidirectional Long-Shor...
Christian Landsiedel, Jens Edlund, Florian Eyben, ...
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 10 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
ICMCS
2005
IEEE
130views Multimedia» more  ICMCS 2005»
15 years 11 months ago
Error Resilience Transcoding Using Prioritized Intra-Refresh for Video Multicast Over Wireless Networks
In this paper, we propose a two-pass intra-refresh transcoding scheme for inserting error-resilience features to a compressed video at the media gateway of a three-tier streaming ...
Chih-Ming Chen, Yuh-Ruey Lee, Chia-Wen Lin, Yung-C...
ICDCSW
2007
IEEE
16 years 3 days ago
The WUI-Toolkit: A Model-Driven UI Development Framework for Wearable User Interfaces
We introduce the “WUI-Toolkit” as a framework to support and ease the development of wearable user interfaces (WUIs). The toolkit presents a first step towards a model-driven...
Hendrik Witt, Tom Nicolai, Holger Kenn