AIMC Topic: Probability

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Empirical strategy for stretching probability distribution in neural-network-based regression.

Neural networks : the official journal of the International Neural Network Society Mar 5, 2021
In regression analysis under artificial neural networks, the prediction performance depends on determining the appropriate weights between layers. As randomly initialized weights are updated during back-propagation using the gradient descent procedur...
Neural Networks, Computer Probability
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Personalized prediction of early childhood asthma persistence: A machine learning approach.

PloS one Mar 1, 2021
Early childhood asthma diagnosis is common; however, many children diagnosed before age 5 experience symptom resolution and it remains difficult to identify individuals whose symptoms will persist. Our objective was to develop machine learning models...
Humans Machine Learning Probability Eczema Asthma Child, Preschool Rhinitis, Allergic Prognosis Electronic Health Records
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Universal probabilistic programming offers a powerful approach to statistical phylogenetics.

Communications biology Feb 24, 2021
Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have seen more generic solutions based on probabi...
Artificial Intelligence Phylogeny Models, Statistical Data Interpretation, Statistical Software Animals Birds Biological Evolution Probability Monte Carlo Method Biostatistics Bayes Theorem Programming Languages
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Fast convergence rates of deep neural networks for classification.

Neural networks : the official journal of the International Neural Network Society Feb 23, 2021
We derive the fast convergence rates of a deep neural network (DNN) classifier with the rectified linear unit (ReLU) activation function learned using the hinge loss. We consider three cases for a true model: (1) a smooth decision boundary, (2) smoot...
Classification Entropy Machine Learning Probability
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Modeling the predictive potential of extralinguistic context with script knowledge: The case of fragments.

PloS one Feb 11, 2021
We describe a novel approach to estimating the predictability of utterances given extralinguistic context in psycholinguistic research. Predictability effects on language production and comprehension are widely attested, but so far predictability has...
Probability Psycholinguistics Humans Language Models, Theoretical Natural Language Processing
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Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations.

Scientific reports Feb 10, 2021
Despite having a similar post-operative complication profile, cardiac valve operations are associated with a higher mortality rate compared to coronary artery bypass grafting (CABG) operations. For long-term mortality, few predictors are known. In th...
Risk Assessment Cohort Studies Time Factors Sensitivity and Specificity Male Coronary Artery Bypass Cardiac Surgical Procedures Probability Heart Valve Diseases Humans Machine Learning Algorithms Female Aged
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Nonhuman rationality: a predictive coding perspective.

Cognitive processing Jan 6, 2021
How can we rethink 'rationality' in the wake of animal and artificial intelligence studies? Can nonhuman systems be rational in any nontrivial sense? In this paper, we propose that all organisms, under certain circumstances, exhibit rationality to a ...
Animals Mice Probability Logic Philosophy Humans Artificial Intelligence Brain
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Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development.

Journal of medical Internet research Dec 16, 2020
BACKGROUND: Assigning meaningful probabilities of SARS-CoV-2 infection risk presents a diagnostic challenge across the continuum of care.
Risk Symptom Assessment Middle Aged Probability Prevalence Humans California Benchmarking Comorbidity Machine Learning Decision Support Systems, Clinical Fever Aged, 80 and over COVID-19 Cough COVID-19 Testing Male Female Bayes Theorem Aged
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Scaffold-Constrained Molecular Generation.

Journal of chemical information and modeling Dec 10, 2020
One of the major applications of generative models for drug discovery targets the lead-optimization phase. During the optimization of a lead series, it is common to have scaffold constraints imposed on the structure of the molecules designed. Without...
Algorithms Drug Design Drug Discovery Probability Neural Networks, Computer
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Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching.

IEEE transactions on neural networks and learning systems Nov 30, 2020
In the literature, the effects of switching with average dwell time (ADT), Markovian switching, and intermittent coupling on stability and synchronization of dynamic systems have been extensively investigated. However, all of them are considered sepa...
Probability Neural Networks, Computer Markov Chains Algorithms Stochastic Processes
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