AIMC Topic:
Models, Theoretical

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Predicting selective liver X receptor β agonists using multiple machine learning methods.

Molecular bioSystems May 1, 2015
Liver X receptor (LXR) α and β are cholesterol sensors; they respond to excess cholesterol and stimulate reverse cholesterol transport. Activating LXRs represents a promising therapeutic option for dyslipidemia. However, activating LXRα may cause unw...
Protein Binding Models, Theoretical Liver X Receptors Reproducibility of Results Humans Drug Discovery Machine Learning Algorithms Orphan Nuclear Receptors
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[Adaptive "3R" De-Noising Algorithm Based on Near Infrared Bi-Spectrum].

Guang pu xue yu guang pu fen xi = Guang pu Apr 1, 2015
Adaptive de-noising algorithm is proposed based on transmission spectrum and absorption spectrum of near infrared. Near infrared transmission spectrum and absorption spectrum collected synchronously are decomposed into intrinsic mode functions by ens...
Chlorophyll Algorithms Models, Theoretical Neural Networks, Computer
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Intrinsic excitability state of local neuronal population modulates signal propagation in feed-forward neural networks.

Chaos (Woodbury, N.Y.) Apr 1, 2015
Reliable signal propagation across distributed brain areas is an essential requirement for cognitive function, and it has been investigated extensively in computational studies where feed-forward network (FFN) is taken as a generic model. But it is s...
Humans Neural Networks, Computer Animals Cognition Models, Theoretical Algorithms Brain Computer Simulation Nerve Net Normal Distribution Synaptic Transmission Signal Processing, Computer-Assisted Neurons Signal-To-Noise Ratio Models, Neurological Action Potentials
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Relational Learning and Network Modelling Using Infinite Latent Attribute Models.

IEEE transactions on pattern analysis and machine intelligence Feb 1, 2015
Latent variable models for network data extract a summary of the relational structure underlying an observed network. The simplest possible models subdivide nodes of the network into clusters; the probability of a link between any two nodes then depe...
Machine Learning Computer Simulation Models, Theoretical Informatics
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Artificial neural network modeling of the water quality index using land use areas as predictors.

Water environment research : a research publication of the Water Environment Federation Feb 1, 2015
This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were em...
City Planning Forestry Models, Theoretical Environmental Monitoring Malaysia Water Quality Neural Networks, Computer Rivers Conservation of Natural Resources Prognosis Agriculture
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Backstepping fuzzy-neural-network control design for hybrid maglev transportation system.

IEEE transactions on neural networks and learning systems Feb 1, 2015
This paper focuses on the design of a backstepping fuzzy-neural-network control (BFNNC) for the online levitated balancing and propulsive positioning of a hybrid magnetic levitation (maglev) transportation system. The dynamic model of the hybrid magl...
Fuzzy Logic Motion Nonlinear Dynamics Pattern Recognition, Automated Neural Networks, Computer Algorithms Models, Theoretical
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[Stochastic simulation of the process of matching of the ages of the human and the experimental mammalian].

Advances in gerontology = Uspekhi gerontologii Jan 1, 2015
The aim of the article is to work out the simple approach for matching of the ages of the human and mammalian. The model is based on the analysis of the counting processes of the proper ontogenetic events (such as the emergence of the first molars, t...
Biological Ontologies Matched-Pair Analysis Stochastic Processes Animals, Laboratory Animals Aging Models, Theoretical Computer Simulation Biomedical Research Humans
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[Comparative Efficiency of Algorithms Based on Support Vector Machines for Regression].

Biofizika Jan 1, 2015
Methods of construction of support vector machines do not require additional a priori information and can be used to process large scale data set. It is especially important for various problems in computational biology. The main set of algorithms of...
Models, Theoretical Support Vector Machine Regression Analysis Algorithms Computational Biology
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Convergent Cross Mapping: Basic concept, influence of estimation parameters and practical application.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
In neuroscience, data are typically generated from neural network activity. Complex interactions between measured time series are involved, and nothing or only little is known about the underlying dynamic system. Convergent Cross Mapping (CCM) provid...
Electroencephalography Heart Rate Nonlinear Dynamics Epilepsy, Temporal Lobe Computer Simulation Child Models, Theoretical Humans Neural Networks, Computer
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Development of an excretion care support robot with human cooperative characteristics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
To support care giving in an aging society with a shrinking population, various life support robots are being developed. In the authors' laboratory, an excretion care support robot (ECSR) with human cooperative characteristic has been developed to re...
Models, Theoretical Posture Robotics Computer Simulation Adult Caregivers Knee Rotation Motion Acceleration Humans
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