AIMC Topic: Heuristics

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Multi-Swarm Algorithm for Extreme Learning Machine Optimization.

Sensors (Basel, Switzerland) May 31, 2022
There are many machine learning approaches available and commonly used today, however, the extreme learning machine is appraised as one of the fastest and, additionally, relatively efficient models. Its main benefit is that it is very fast, which mak...
Machine Learning Algorithms Computer Simulation Heuristics
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Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection.

Computer methods and programs in biomedicine May 19, 2022
BACKGROUND: State-of-the-art automatic atrial fibrillation (AF) detection models trained on RR-interval (RRI) features generally produce high performance on standard benchmark electrocardiogram (ECG) AF datasets. These models, however, result in a si...
Algorithms Deep Learning Heuristics Humans Electrocardiography Atrial Fibrillation Electrocardiography, Ambulatory
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Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach.

Sensors (Basel, Switzerland) Mar 9, 2022
False alerts due to misconfigured or compromised intrusion detection systems (IDS) in industrial control system (ICS) networks can lead to severe economic and operational damage. However, research using deep learning to reduce false alerts often requ...
Artificial Intelligence Machine Learning Humans Heuristics Bayes Theorem Computer Security
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Heuristic-based channel selection with enhanced deep learning for heart disease prediction under WBAN.

Computer methods in biomechanics and biomedical engineering Feb 14, 2022
The main intention of this proposal is to design and develop a new heart disease prediction model via WBAN using three stages. The first stage is data aggregation, in which data is scheduled in Time Division Multiple Access manner based on priority l...
Deep Learning Heuristics Algorithms Heart Diseases Humans Neural Networks, Computer
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Feature Identification With a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2022
The purpose of this study was to compare a heuristic feature identification algorithm with output from the Beta Process Auto Regressive Hidden Markov Model (BP-AR-HMM) utilizing minimally sampled (≤ 100 Hz) human locomotion data for identification of...
Gait Heuristics Unsupervised Machine Learning Walking Biomechanical Phenomena Humans Algorithms
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DMPP: Differentiable multi-pruner and predictor for neural network pruning.

Neural networks : the official journal of the International Neural Network Society Dec 30, 2021
Neural network pruning can trim the over-parameterized neural networks effectively by removing a number of network parameters. However, the traditional rule-based approaches always depend on manual experience. Existing heuristic search methods in dis...
Heuristics Dimethylphenylpiperazinium Iodide Neural Networks, Computer
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A hybridization of distributed policy and heuristic augmentation for improving federated learning approach.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2021
Modifying the existing models of classifiers' operation is primarily aimed at increasing the effectiveness as well as minimizing the training time. An additional advantage is the ability to quickly implement a given solution to the real needs of the ...
Machine Learning Reproducibility of Results Policy Heuristics Image Processing, Computer-Assisted
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Numerical Study of the Environmental and Economic System through the Computational Heuristic Based on Artificial Neural Networks.

Sensors (Basel, Switzerland) Sep 30, 2021
In this study, the numerical computation heuristic of the environmental and economic system using the artificial neural networks (ANNs) structure together with the capabilities of the heuristic global search genetic algorithm (GA) and the quick local...
Heuristics Neural Networks, Computer Algorithms
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When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving.

Topics in cognitive science Aug 31, 2021
A problem is a situation in which an agent seeks to attain a given goal without knowing how to achieve it. Human problem solving is typically studied as a search in a problem space composed of states (information about the environment) and operators ...
Problem Solving Humans Heuristics Reward Artificial Intelligence Algorithms
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A heuristic perspective on non-variational free energy modulation at the sleep-like edge.

Bio Systems Jul 8, 2021
BACKGROUND: The variational Free Energy Principle (FEP) establishes that a neural system minimizes a free energy function of their internal state through environmental sensing entailing beliefs about hidden states in their environment.
Delta Rhythm Heuristics Wakefulness Entropy Neural Networks, Computer Sleep Humans Neurons Thalamus
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