AIMC Topic: Linear Models

Clear Filters Showing 91 to 100 of 579 articles

Support Vector Machine-Based Global Classification Model of the Toxicity of Organic Compounds to .

Molecules (Basel, Switzerland) Mar 16, 2023
is widely used as the model species in toxicity and risk assessment. For the first time, a global classification model was proposed in this paper for a two-class problem (Class - 1 with log1/IBC ≤ 4.2 and Class + 1 with log1/IBC > 4.2, the unit of I...
Software Organic Chemicals Support Vector Machine Linear Models Quantitative Structure-Activity Relationship Aliivibrio fischeri
View on PubMed DOI

Forecasting and Optimizing Dual Media Filter Performance via Machine Learning.

Water research Mar 12, 2023
Four different machine learning algorithms, including Decision Tree (DT), Random Forest (RF), Multivariable Linear Regression (MLR), Support Vector Regressions (SVR), and Gaussian Process Regressions (GPR), were applied to predict the performance of ...
Machine Learning Algorithms Forecasting Reproducibility of Results Linear Models
View on PubMed DOI

An interpretive constrained linear model for ResNet and MgNet.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2023
We propose a constrained linear data-feature-mapping model as an interpretable mathematical model for image classification using a convolutional neural network (CNN). From this viewpoint, we establish detailed connections between the traditional iter...
Neural Networks, Computer Models, Theoretical Linear Models
View on PubMed DOI

Surrogate Modelling for Oxygen Uptake Prediction Using LSTM Neural Network.

Sensors (Basel, Switzerland) Feb 16, 2023
Oxygen uptake (V˙O2) is an important metric in any exercise test including walking and running. It can be measured using portable spirometers or metabolic analyzers. Those devices are, however, not suitable for constant use by consumers due to their ...
Neural Networks, Computer Oxygen Exercise Test Heart Rate Linear Models
View on PubMed DOI

LGEANet: LSTM-global temporal convolution-external attention network for respiratory motion prediction.

Medical physics Feb 13, 2023
PURPOSE: To develop a deep learning network that treats the three-dimensional respiratory motion signals as a whole and considers the inter-dimensional correlation between signals of different directions for accurate respiratory tumor motion predicti...
Humans Neural Networks, Computer Neoplasms Motion Linear Models
View on PubMed DOI

Expectile Neural Networks for Genetic Data Analysis of Complex Diseases.

IEEE/ACM transactions on computational biology and bioinformatics Feb 6, 2023
The genetic etiologies of common diseases are highly complex and heterogeneous. Classic methods, such as linear regression, have successfully identified numerous variants associated with complex diseases. Nonetheless, for most diseases, the identifie...
Neural Networks, Computer Phenotype Genetic Variation Linear Models
View on PubMed DOI

Predictive Models of Life Satisfaction in Older People: A Machine Learning Approach.

International journal of environmental research and public health Jan 30, 2023
Studies of life satisfaction in older adults have been conducted extensively through empirical research, questionnaires, and theoretical analysis, with the majority of these studies basing their analyses on simple linear relationships between variabl...
Humans Machine Learning Aged Middle Aged Personal Satisfaction Linear Models
View on PubMed DOI

Application of Neural Network in Predicting HS from an Acid Gas Removal Unit (AGRU) with Different Compositions of Solvents.

Sensors (Basel, Switzerland) Jan 16, 2023
The gas sweetening process removes hydrogen sulfide (HS) in an acid gas removal unit (AGRU) to meet the gas sales' specification, known as sweet gas. Monitoring the concentration of HS in sweet gas is crucial to avoid operational and environmental is...
Neural Networks, Computer Solvents Linear Models Gases Hydrogen Sulfide
View on PubMed DOI

Gradient Tree Boosting for Hierarchical Data.

Multivariate behavioral research Jan 5, 2023
Gradient tree boosting is a powerful machine learning technique that has shown good performance in predicting a variety of outcomes. However, when applied to hierarchical (e.g., longitudinal or clustered) data, the predictive performance of gradient ...
Machine Learning Algorithms Computer Simulation Bayes Theorem Linear Models
View on PubMed DOI

Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation.

Journal of the Royal Society, Interface Jan 4, 2023
Inferring the underlying processes that drive collective behaviour in biological and social systems is a significant statistical and computational challenge. While simulation models have been successful in qualitatively capturing many of the phenomen...
Neural Networks, Computer Algorithms Computer Simulation Bayes Theorem Linear Models
View on PubMed DOI
Popular Topics
Recent Journals