AIMC Topic: Bayes Theorem
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Trainable Quaternion Extended Kalman Filter with Multi-Head Attention for Dead Reckoning in Autonomous Ground Vehicles.
Sensors (Basel, Switzerland)
Oct 11, 2022
Extended Kalman filter (EKF) is one of the most widely used Bayesian estimation methods in the optimal control area. Recent works on mobile robot control and transportation systems have applied various EKF methods, especially for localization. Howeve...
Clustering of trauma patients based on longitudinal data and the application of machine learning to predict recovery.
Scientific reports
Oct 10, 2022
Predicting recovery after trauma is important to provide patients a perspective on their estimated future health, to engage in shared decision making and target interventions to relevant patient groups. In the present study, several unsupervised tech...
Using Artificial Intelligence for Predicting the Duration of Emergency Evacuation During Hospital Fire.
Disaster medicine and public health preparedness
Oct 10, 2022
OBJECTIVE: A danger threatening hospitals is fire. The most important action following a fire is to urgently evacuate the hospital during the shortest time possible. The aim of this study was to predict the duration of emergency evacuation following ...
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score.
IEEE transactions on neural networks and learning systems
Oct 5, 2022
Inferring brain-effective connectivity networks from neuroimaging data has become a very hot topic in neuroinformatics and bioinformatics. In recent years, the search methods based on Bayesian network score have been greatly developed and become an e...
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...
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...
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...
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...
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...
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...
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