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» Regularization and feature selection for networked features
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AI
2001
Springer
15 years 8 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
129
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ICASSP
2011
IEEE
14 years 7 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, ...
LION
2009
Springer
129views Optimization» more  LION 2009»
15 years 10 months 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...
ICMCS
2005
IEEE
130views Multimedia» more  ICMCS 2005»
15 years 9 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...
INFOCOM
2007
IEEE
15 years 10 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina