AIMC Topic: Bayes Theorem

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Towards a configurable and non-hierarchical search space for NAS.

Neural networks : the official journal of the International Neural Network Society Sep 3, 2024
Neural Architecture Search (NAS) outperforms handcrafted Neural Network (NN) design. However, current NAS methods generally use hard-coded search spaces, and predefined hierarchical architectures. As a consequence, adapting them to a new problem can ...
Algorithms Bayes Theorem Normal Distribution Humans Neural Networks, Computer
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Hybrid deep learning based prediction for water quality of plain watershed.

Environmental research Sep 2, 2024
Establishing a highly reliable and accurate water quality prediction model is critical for effective water environment management. However, enhancing the performance of these predictive models continues to pose challenges, especially in the plain wat...
Bayes Theorem Water Quality Rivers Deep Learning Models, Theoretical Environmental Monitoring
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Refining hydrogel-based sorbent design for efficient toxic metal removal using machine learning-Bayesian optimization.

Journal of hazardous materials Aug 30, 2024
Hydrogel-based sorbents show promise in the removal of toxic metals from water. However, optimizing their performance through conventional trial-and-error methods is both costly and challenging due to the inherent high-dimensional parameter space ass...
Bayes Theorem Hydrogels Metals, Heavy Metals Machine Learning Water Pollutants, Chemical Water Purification Adsorption
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UNSEG: unsupervised segmentation of cells and their nuclei in complex tissue samples.

Communications biology Aug 30, 2024
Multiplexed imaging technologies have made it possible to interrogate complex tissue microenvironments at sub-cellular resolution within their native spatial context. However, proper quantification of this complexity requires the ability to easily an...
Bayes Theorem Cell Nucleus Deep Learning Humans Image Processing, Computer-Assisted Algorithms Unsupervised Machine Learning
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Machine learning approach to investigate pregnancy and childbirth risk factors of sleep problems in early adolescence: Evidence from two cohort studies.

Computer methods and programs in biomedicine Aug 28, 2024
BACKGROUND: This study aimed to predict early adolescent sleep problems using pregnancy and childbirth risk factors through machine learning algorithms, and to evaluate model performance internally and externally.
Female Humans Risk Factors Machine Learning Bayes Theorem Algorithms China Adolescent Parturition Pregnancy Cohort Studies Sleep Wake Disorders ROC Curve
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Application of machine-learning models to predict the ganciclovir and valganciclovir exposure in children using a limited sampling strategy.

Antimicrobial agents and chemotherapy Aug 28, 2024
Intravenous ganciclovir and oral valganciclovir display significant variability in ganciclovir pharmacokinetics, particularly in children. Therapeutic drug monitoring currently relies on the area under the concentration-time (AUC). Machine-learning (...
Cytomegalovirus Infections Administration, Oral Administration, Intravenous Valganciclovir Ganciclovir Area Under Curve Bayes Theorem Drug Monitoring Child Antiviral Agents Algorithms Female Humans Male Machine Learning Infant Adolescent Child, Preschool
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Constraint based Bayesian optimization of bioink precursor: a machine learning framework.

Biofabrication Aug 28, 2024
Current research practice for optimizing bioink involves exhaustive experimentation with multi-material composition for determining the printability, shape fidelity and biocompatibility. Predicting bioink properties can be beneficial to the research ...
Animals Mice Bayes Theorem Bioprinting Viscosity Ink Machine Learning
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Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis.

BMC medical informatics and decision making Aug 27, 2024
Efforts to enhance the accuracy of protein sequence classification are of utmost importance in driving forward biological analyses and facilitating significant medical advancements. This study presents a cutting-edge model called ProtICNN-BiLSTM, whi...
Computational Biology Proteins Bayes Theorem Humans Deep Learning Sequence Analysis, Protein
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Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization.

Water research Aug 26, 2024
Extensive studies on improving anammox performance have taken place for decades with particular focuses on its operational and environmental factors, but such parameter-based optimization is difficult, because of the sheer number of possible combinat...
Machine Learning Anaerobic Ammonia Oxidation Datasets as Topic Algorithms Bayes Theorem Hydrodynamics
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Advanced technologies and mathematical metacognition: The present and future orientation.

Bio Systems Aug 26, 2024
The intersection of mathematical cognition, metacognition, and advanced technologies presents a frontier with profound implications for human learning and artificial intelligence. This paper traces the historical roots of these concepts from the Pyth...
Learning Cognition Fuzzy Logic Humans Artificial Intelligence Mathematics Metacognition Robotics Bayes Theorem
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