AIMC Topic:
Models, Theoretical

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Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction.

PloS one Sep 30, 2015
Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ecology and the human propensity for both learning and tutoring. Social learning has the potential to ...
Humans Machine Learning Models, Theoretical Robotics Social Behavior Female Male
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Identification of dual-tropic HIV-1 using evolved neural networks.

Bio Systems Sep 28, 2015
Blocking the binding of the envelope HIV-1 protein to immune cells is a popular concept for development of anti-HIV therapeutics. R5 HIV-1 binds CCR5, X4 HIV-1 binds CXCR4, and dual-tropic HIV-1 can bind either coreceptor for cellular entry. R5 virus...
HIV-1 Viral Tropism Neural Networks, Computer Models, Theoretical
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Simulative and experimental investigation on stator winding turn and unbalanced supply voltage fault diagnosis in induction motors using Artificial Neural Networks.

ISA transactions Sep 26, 2015
The three-phase shift between line current and phase voltage of induction motors can be used as an efficient fault indicator to detect and locate inter-turn stator short-circuit (ITSC) fault. However, unbalanced supply voltage is one of the contribut...
Neural Networks, Computer Machine Learning Algorithms Electronics Electric Power Supplies Computer Simulation Models, Theoretical
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Synchronization transitions induced by the fluctuation of adaptive coupling strength in delayed Newman-Watts neuronal networks.

Bio Systems Sep 25, 2015
Introducing adaptive coupling in delayed neuronal networks and regulating the dissipative parameter (DP) of adaptive coupling by noise, we study the effect of fluctuations of the changing rate of adaptive coupling on the synchronization of the neuron...
Neural Networks, Computer Models, Theoretical
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The Large Scale Machine Learning in an Artificial Society: Prediction of the Ebola Outbreak in Beijing.

Computational intelligence and neuroscience Sep 20, 2015
Ebola virus disease (EVD) distinguishes its feature as high infectivity and mortality. Thus, it is urgent for governments to draw up emergency plans against Ebola. However, it is hard to predict the possible epidemic situations in practice. Luckily, ...
Predictive Value of Tests Beijing Hemorrhagic Fever, Ebola Disease Outbreaks Humans Models, Theoretical Machine Learning
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Forecasting PM10 in Algiers: efficacy of multilayer perceptron networks.

Environmental science and pollution research international Sep 18, 2015
Air quality forecasting system has acquired high importance in atmospheric pollution due to its negative impacts on the environment and human health. The artificial neural network is one of the most common soft computing methods that can be pragmatic...
Temperature Wind Models, Theoretical Neural Networks, Computer Forecasting Air Pollutants Environment Environmental Monitoring Humans Algeria Particle Size
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Capnodynamic assessment of effective lung volume during cardiac output manipulations in a porcine model.

Journal of clinical monitoring and computing Sep 16, 2015
A capnodynamic calculation of effective pulmonary blood flow includes a lung volume factor (ELV) that has to be estimated to solve the mathematical equation. In previous studies ELV correlated to reference methods for functional residual capacity (FR...
Anesthesia Lung Volume Measurements Cardiac Output Respiratory Function Tests Time Factors Swine Functional Residual Capacity Regional Blood Flow Tidal Volume Lung Injury Hemodynamics Models, Theoretical Sulfur Hexafluoride Reference Values Surface-Active Agents Positive-Pressure Respiration Animals Lung
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An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.

IEEE/ACM transactions on computational biology and bioinformatics Sep 14, 2015
In biomedical text mining tasks, distributed word representation has succeeded in capturing semantic regularities, but most of them are shallow-window based models, which are not sufficient for expressing the meaning of words. To represent words usin...
Natural Language Processing Data Mining Protein Interaction Mapping Models, Theoretical Semantics Unsupervised Machine Learning Biomedical Research
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A Computationally Inexpensive Optimal Guidance via Radial-Basis-Function Neural Network for Autonomous Soft Landing on Asteroids.

PloS one Sep 14, 2015
Optimal guidance is essential for the soft landing task. However, due to its high computational complexities, it is hardly applied to the autonomous guidance. In this paper, a computationally inexpensive optimal guidance algorithm based on the radial...
Neural Networks, Computer Computer Simulation Minor Planets Space Flight Models, Theoretical
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Prediction of telephone calls load using Echo State Network with exogenous variables.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2015
We approach the problem of forecasting the load of incoming calls in a cell of a mobile network using Echo State Networks. With respect to previous approaches to the problem, we consider the inclusion of additional telephone records regarding the act...
Computer Communication Networks Cell Phone Neural Networks, Computer Machine Learning Forecasting Models, Theoretical Algorithms
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