AIMC Topic:
Models, Theoretical

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Neural network for constrained nonsmooth optimization using Tikhonov regularization.

Neural networks : the official journal of the International Neural Network Society Dec 31, 2014
This paper presents a one-layer neural network to solve nonsmooth convex optimization problems based on the Tikhonov regularization method. Firstly, it is shown that the optimal solution of the original problem can be approximated by the optimal solu...
Computer Simulation Models, Theoretical Neural Networks, Computer Algorithms
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Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network.

IEEE transactions on neural networks and learning systems Dec 19, 2014
In this paper, we propose new methods for the choice and adaptation of the smoothing parameter of the probabilistic neural network (PNN). These methods are based on three reinforcement learning algorithms: Q(0)-learning, Q(λ)-learning, and stateless ...
Algorithms Models, Theoretical Probability Humans Neural Networks, Computer Reinforcement, Psychology
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Sparse representation of electrodermal activity with knowledge-driven dictionaries.

IEEE transactions on bio-medical engineering Dec 4, 2014
Biometric sensors and portable devices are being increasingly embedded into our everyday life, creating the need for robust physiological models that efficiently represent, analyze, and interpret the acquired signals. We propose a knowledge-driven me...
Electrodiagnosis Models, Statistical Skin Physiological Phenomena Humans Galvanic Skin Response Signal Processing, Computer-Assisted Algorithms Knowledge Bases Models, Theoretical
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The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes.

Medical decision making : an international journal of the Society for Medical Decision Making Dec 1, 2014
OBJECTIVE: To evaluate the impact of the synthetic minority oversampling technique (SMOTE) on the performance of probabilistic neural network (PNN), naïve Bayes (NB), and decision tree (DT) classifiers for predicting diabetes in a prospective cohort ...
Middle Aged Diabetes Mellitus, Type 2 Models, Theoretical Sensitivity and Specificity Neural Networks, Computer Male Algorithms Selection Bias Humans Prospective Studies Iran Minority Groups Socioeconomic Factors Female Decision Trees Risk Factors Bayes Theorem Adult
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Terahertz time-domain spectroscopy combined with fuzzy rule-building expert system and fuzzy optimal associative memory applied to diagnosis of cervical carcinoma.

Medical oncology (Northwood, London, England) Nov 30, 2014
Combined with terahertz time-domain spectroscopy, the feasibility of fast and reliable diagnosis of cervical carcinoma by a fuzzy rule-building expert system (FuRES) and a fuzzy optimal associative memory (FOAM) had been studied. The terahertz spectr...
Principal Component Analysis Uterine Cervical Neoplasms Humans Spectrum Analysis Female Expert Systems Models, Theoretical Fuzzy Logic
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Quantitative assessment of new MRI-based measurements to differentiate low and high stages of pelvic organ prolapse using support vector machines.

International urogynecology journal Nov 28, 2014
INTRODUCTION AND HYPOTHESIS: The objective of this study was to quantitatively assess the ability of new MRI-based measurements to differentiate low and high stages of pelvic organ prolapse. New measurements representing pelvic structural characteris...
Aged Adult Middle Aged Severity of Illness Index Models, Theoretical Support Vector Machine Humans Retrospective Studies Female Magnetic Resonance Imaging Pelvic Organ Prolapse
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Performance improvement of classifier fusion for batch samples based on upper integral.

Neural networks : the official journal of the International Neural Network Society Nov 28, 2014
The generalization ability of ELM can be improved by fusing a number of individual ELMs. This paper proposes a new scheme of fusing ELMs based on upper integrals, which differs from all the existing fuzzy integral models of classifier fusion. The new...
Neural Networks, Computer Algorithms Models, Theoretical
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Learning structured models for segmentation of 2-D and 3-D imagery.

IEEE transactions on medical imaging Nov 26, 2014
Efficient and accurate segmentation of cellular structures in microscopic data is an essential task in medical imaging. Many state-of-the-art approaches to image segmentation use structured models whose parameters must be carefully chosen for optimal...
Animals Imaging, Three-Dimensional Models, Theoretical Models, Statistical Mitochondria Machine Learning Algorithms Microscopy, Electron CA1 Region, Hippocampal
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Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations.

Evolutionary computation Nov 24, 2014
Dispatching rules are frequently used for real-time, online scheduling in complex manufacturing systems. Design of such rules is usually done by experts in a time consuming trial-and-error process. Recently, evolutionary algorithms have been proposed...
Computer Simulation Models, Theoretical Appointments and Schedules Stochastic Processes Search Engine Neural Networks, Computer Artificial Intelligence Algorithms
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Terrain Classification From Body-Mounted Cameras During Human Locomotion.

IEEE transactions on cybernetics Nov 20, 2014
This paper presents a novel algorithm for terrain type classification based on monocular video captured from the viewpoint of human locomotion. A texture-based algorithm is developed to classify the path ahead into multiple groups that can be used to...
Image Processing, Computer-Assisted Models, Theoretical Robotics Humans Algorithms Walking Video Recording Pattern Recognition, Automated Surface Properties
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