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» Artificial Neural Networks to Predict Daylily Hybrids
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CEC
2009
IEEE
15 years 3 months ago
JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator
This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous...
Olivier Brousse, Jérémie Guillot, Th...
CORR
2002
Springer
89views Education» more  CORR 2002»
14 years 11 months ago
NetNeg: A Connectionist-Agent Integrated System for Representing Musical Knowledge
Thesystempresented here showsthe feasibility of modcling the knowledgeinvolved in a complexmusical activity by integrating sub-symbolicand symbolicprocesses. Thisresearch focuses ...
Claudia V. Goldman, Dan Gang, Jeffrey S. Rosensche...
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 1 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
KES
2004
Springer
15 years 5 months ago
Fuzzy Kolmogorov's Network
A spline-based modification of the previously developed Neuro-Fuzzy Kolmogorov's Network (NFKN) is proposed. In order to improve the approximation accuracy, cubic B-splines ar...
Vitaliy Kolodyazhniy, Yevgeniy Bodyanskiy
112
Voted
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 3 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic