AIMC Topic: Feedback

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Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study.

BMC medical informatics and decision making May 8, 2019
OBJECTIVE: Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), an open-source machine learning (ML) system, semi-automates bias assessments. We cond...
Humans Machine Learning Risk Assessment Randomized Controlled Trials as Topic Prospective Studies Bias Feedback
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Fixed-time synchronization of coupled memristor-based neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Apr 9, 2019
This paper investigates the fixed-time synchronization of Memristor-based neural networks with time-delayed and coupled. In view of the retarded differential inclusions theory, drive-response concept, the authors give some sufficient conditions to en...
Feedback Neural Networks, Computer Time Factors Algorithms
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On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network.

Neural networks : the official journal of the International Neural Network Society Mar 29, 2019
Outlet ferrous ion concentration is an essential indicator to manipulate the goethite process in the zinc hydrometallurgy plant. However, it cannot be measured on-line, which leads to the delay of this feedback information. In this study, a self-adju...
Metallurgy Ferrous Compounds Iron Compounds Forecasting Feedback Minerals Neurons Neural Networks, Computer Algorithms
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Learning to learn with active adaptive perception.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2019
Increasingly, autonomous agents will be required to operate on long-term missions. This will create a demand for general intelligence because feedback from a human operator may be sparse and delayed, and because not all behaviours can be prescribed. ...
Neural Networks, Computer Machine Learning Feedback
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Self-Anamnesis with a Conversational User Interface: Concept and Usability Study.

Methods of information in medicine Mar 15, 2019
OBJECTIVE: Self-anamnesis is a procedure in which a patient answers questions about the personal medical history without interacting directly with a doctor or medical assistant. If collected digitally, the anamnesis data can be shared among the healt...
Surveys and Questionnaires Adolescent Male Middle Aged Aged, 80 and over Medical History Taking User-Computer Interface Young Adult Music Therapy Programming Languages Adult Humans Female Feedback Artificial Intelligence Aged
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Discriminative multi-source adaptation multi-feature co-regression for visual classification.

Neural networks : the official journal of the International Neural Network Society Mar 12, 2019
Learning an effective visual classifier from few labeled samples is a challenging problem, which has motivated the multi-source adaptation scheme in machine learning. While the advantages of multi-source adaptation have been widely recognized, there ...
Machine Learning Feedback Pattern Recognition, Automated Classification
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Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach.

Neural networks : the official journal of the International Neural Network Society Mar 8, 2019
This paper presents a near optimal adaptive event-based sampling scheme for tracking control of an affine nonlinear continuous-time system. A zero-sum game approach is proposed by introducing a novel performance index. The optimal value function, i.e...
Nonlinear Dynamics Game Theory Neural Networks, Computer Feedback
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Pneumatically driven surgical instrument capable of estimating translational force and grasping force.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 25, 2019
BACKGROUND: In robot-assisted minimally invasive surgery, feedback as well as sensing of translational and grasping forces allows surgeons to manipulate the robots using an appropriate force. However, there have been limited reports on single instrum...
Surgical Instruments Robotics Touch Minimally Invasive Surgical Procedures Equipment Design Pressure Feedback Biomechanical Phenomena Humans
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Contrastive Hebbian learning with random feedback weights.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2019
Neural networks are commonly trained to make predictions through learning algorithms. Contrastive Hebbian learning, which is a powerful rule inspired by gradient backpropagation, is based on Hebb's rule and the contrastive divergence algorithm. It op...
Feedback Neural Networks, Computer Machine Learning
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Finite-Time Convergence Adaptive Neural Network Control for Nonlinear Servo Systems.

IEEE transactions on cybernetics Feb 7, 2019
Although adaptive control design with function approximators, for example, neural networks (NNs) and fuzzy logic systems, has been studied for various nonlinear systems, the classical adaptive laws derived based on the gradient descent algorithm with...
Algorithms Computer Simulation Feedback Nonlinear Dynamics Neural Networks, Computer Friction
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