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FLAIRS
2003
15 years 6 months ago
Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
Artur S. d'Avila Garcez, Luís C. Lamb, Krys...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 5 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
143
Voted
BMCBI
2010
118views more  BMCBI 2010»
15 years 5 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
INFOCOM
2007
IEEE
15 years 11 months ago
Shape Segmentation and Applications in Sensor Networks
—Many sensor network protocols in the literature implicitly assume that sensor nodes are deployed uniformly inside a simple geometric region. When the real deployment deviates fr...
Xianjin Zhu, Rik Sarkar, Jie Gao
ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
15 years 2 months ago
Surface identification using simple contact dynamics for mobile robots
This paper describes an approach to surface identification in the context of mobile robotics, applicable to supervised and unsupervised learning. The identification is based on ana...
Philippe Giguère, Gregory Dudek