AIMC Topic: Bayes Theorem

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On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal Classifier.

IEEE transactions on neural networks and learning systems Oct 5, 2022
In classification, the use of 0-1 loss is preferable since the minimizer of 0-1 risk leads to the Bayes optimal classifier. However, due to the nonconvexity of 0-1 loss, this optimization problem is NP-hard. Therefore, many convex surrogate loss func...
Neural Networks, Computer Bayes Theorem Sample Size Algorithms
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Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design.

IEEE transactions on neural networks and learning systems Oct 5, 2022
Design is an inseparable part of most scientific and engineering tasks, including real and simulation-based experimental design processes and parameter/hyperparameter tuning/optimization. Several model-based experimental design techniques have been d...
Neural Networks, Computer Bayes Theorem Computer Simulation Research Design Gene Regulatory Networks
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Face Sketch Synthesis Using Regularized Broad Learning System.

IEEE transactions on neural networks and learning systems Oct 5, 2022
There are two main categories of face sketch synthesis: data- and model-driven. The data-driven method synthesizes sketches from training photograph-sketch patches at the cost of detail loss. The model-driven method can preserve more details, but the...
Face Bayes Theorem Humans Algorithms Neural Networks, Computer
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Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models.

IEEE transactions on neural networks and learning systems Oct 5, 2022
State-space models (SSMs) are a rich class of dynamical models with a wide range of applications in economics, healthcare, computational biology, robotics, and more. Proper analysis, control, learning, and decision-making in dynamical systems modeled...
Neural Networks, Computer Probability Space Simulation Bayes Theorem Computational Biology
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Hierarchical Bayesian LSTM for Head Trajectory Prediction on Omnidirectional Images.

IEEE transactions on pattern analysis and machine intelligence Oct 4, 2022
When viewing omnidirectional images (ODIs), viewers can access different viewports via head movement (HM), which sequentially forms head trajectories in spatial-temporal domain. Thus, head trajectories play a key role in modeling human attention on O...
Bayes Theorem Algorithms Neural Networks, Computer Humans
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Prediction of successful aging using ensemble machine learning algorithms.

BMC medical informatics and decision making Oct 3, 2022
BACKGROUND: Aging is a chief risk factor for most chronic illnesses and infirmities. The growth in the aged population increases medical costs, thus imposing a heavy financial burden on families and communities. Successful aging (SA) is a positive an...
Humans Aging Bayes Theorem Aged Algorithms Support Vector Machine Machine Learning Retrospective Studies
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Predicting Conserved Water Molecules in Binding Sites of Proteins Using Machine Learning Methods and Combining Features.

Computational and mathematical methods in medicine Oct 3, 2022
Water molecules play an important role in many biological processes in terms of stabilizing protein structures, assisting protein folding, and improving binding affinity. It is well known that, due to the impacts of various environmental factors, it ...
Binding Sites Support Vector Machine Solvents Machine Learning Bayes Theorem Humans Water Proteins
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Automatic Evolution of Machine-Learning-Based Quantum Dynamics with Uncertainty Analysis.

Journal of chemical theory and computation Oct 2, 2022
The machine learning approaches are applied in the dynamical simulation of open quantum systems. The long short-term memory recurrent neural network (LSTM-RNN) models are used to simulate the long-time quantum dynamics, which are built based on the k...
Uncertainty Machine Learning Bayes Theorem Neural Networks, Computer
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Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification.

Computational intelligence and neuroscience Sep 30, 2022
Capsule Networks have shown great promise in image recognition due to their ability to recognize the pose, texture, and deformation of objects and object parts. However, the majority of the existing capsule networks are deterministic with limited abi...
Neural Networks, Computer Normal Distribution Bayes Theorem Reproducibility of Results Uncertainty
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Early Prediction of Diabetes Using an Ensemble of Machine Learning Models.

International journal of environmental research and public health Sep 28, 2022
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of significant complications, including cardiovascular disease, kidney failure, diabetic retinopathy, and neuropathy, among others, which contribute to an incr...
Bayes Theorem Area Under Curve Analysis of Variance Machine Learning Diabetes Mellitus Humans
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