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IWINAC
2005
Springer
16 years 20 days ago
Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Analysis
spike separation is a basic prerequisite for analyzing of the cooperative neural behavior and neural code when registering extracelluIarly. Final performance of any spike sorting m...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
SGAI
2005
Springer
16 years 19 days ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
AIME
2003
Springer
16 years 12 days ago
Attribute Interactions in Medical Data Analysis
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez D...
ICCAD
2000
IEEE
138views Hardware» more  ICCAD 2000»
15 years 11 months ago
Fast Analysis and Optimization of Power/Ground Networks
This paper presents an efficient method for optimizing power/ground (P/G) networks by widening wires and adding decoupling capacitors (decaps). It proposes a structured skeleton t...
Haihua Su, Kaushik Gala, Sachin S. Sapatnekar
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 11 months ago
Impact of arrival burstiness on queue length: An infinitesimal perturbation analysis
Traffic burstiness has a significant impact on network performance. Burstiness can cause buffer overflows and packet drops and is particularly problematic in the context of small-b...
Yan Cai, Yong Liu, Weibo Gong, Tilman Wolf