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CDC
2009
IEEE
129views Control Systems» more  CDC 2009»
14 years 1 months ago
Improving the performance of active set based Model Predictive Controls by dataflow methods
Abstract-- Dataflow representations of Digital Signal Processing (DSP) software have been developing since the 1980's. They have proven to be useful in identifying bottlenecks...
Ruirui Gu, Shuvra S. Bhattacharyya, William S. Lev...
HIS
2004
13 years 10 months ago
An Empirical Performance Comparison of Machine Learning Methods for Spam E-Mail Categorization
The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Using a classifier based on machine learning techniques ...
Chih-Chin Lai, Ming-Chi Tsai
ICUMT
2009
13 years 6 months ago
Performance evaluations of channel estimations in IEEE 802.11p environments
To solve the defect in IEEE 802.11p standard that coherence bandwidth is insufficient to estimate the channel state in rich scattering environment, hance a time domain channel esti...
Chi-Sheng Lin, Che-Kang Sun, Jia-Chin Lin, Bo-Chua...
CORR
2011
Springer
200views Education» more  CORR 2011»
13 years 4 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
CJ
2008
110views more  CJ 2008»
13 years 9 months ago
Average-Case Performance Analysis Of Online Non-Clairvoyant Scheduling Of Parallel Tasks With Precedence Constraints
We evaluate the average-case performance of three approximation algorithms for online non-clairvoyant scheduling of parallel tasks with precedence constraints. We show that for a ...
Keqin Li