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» Abstractions for hybrid systems
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GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
16 years 11 hour ago
Daily Stock Prediction Using Neuro-genetic Hybrids
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Yung-Keun Kwon, Byung Ro Moon
FLAIRS
2000
15 years 8 months ago
HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents
Many knowledge acquisition approaches have been proposed to minimize the cognitive effort in knowledgebased system construction. The knowledge acquisition approach proposed here p...
Sandro Coimbra Assis, Flávio Miguel Varej&a...
ICANN
2011
Springer
14 years 10 months ago
Person Tracking Based on a Hybrid Neural Probabilistic Model
This article presents a novel approach for a real-time person tracking system based on particle filters that use different visual streams. Due to the difficulty of detecting a pe...
Wenjie Yan, Cornelius Weber, Stefan Wermter
HPCA
2007
IEEE
16 years 7 months ago
Extending Multicore Architectures to Exploit Hybrid Parallelism in Single-thread Applications
Chip multiprocessors with multiple simpler cores are gaining popularity because they have the potential to drive future performance gains without exacerbating the problems of powe...
Hongtao Zhong, Steven A. Lieberman, Scott A. Mahlk...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 12 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali