AIMC Topic:
Bayes Theorem

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Asymptotic accuracy of Bayesian estimation for a single latent variable.

Neural networks : the official journal of the International Neural Network Society May 8, 2015
In data science and machine learning, hierarchical parametric models, such as mixture models, are often used. They contain two kinds of variables: observable variables, which represent the parts of the data that can be directly measured, and latent v...
Bayes Theorem Machine Learning Biometry Data Accuracy Models, Theoretical Likelihood Functions Regression Analysis
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Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries Apr 27, 2015
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...
Young Adult Adult Male Software Decision Support Techniques Female Adolescent Child, Preschool Child ROC Curve Risk Assessment Infant England Neural Networks, Computer Burns Machine Learning Body Surface Area Wales Humans Smoke Inhalation Injury Models, Statistical Logistic Models Bayes Theorem Support Vector Machine Registries Age Factors
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Applying a novel combination of techniques to develop a predictive model for diabetes complications.

PloS one Apr 22, 2015
Among the many related issues of diabetes management, its complications constitute the main part of the heavy burden of this disease. The aim of this paper is to develop a risk advisor model to predict the chances of diabetes complications according ...
Regression Analysis Risk Factors Humans Predictive Value of Tests Diabetes Complications Risk Assessment Bayes Theorem Neural Networks, Computer Models, Theoretical Algorithms
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Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain.

IEEE transactions on neural networks and learning systems Apr 7, 2015
An usual task in large data set analysis is searching for an appropriate data representation in a space of fewer dimensions. One of the most efficient methods to solve this task is factor analysis. In this paper, we compare seven methods for Boolean ...
Noise Factor Analysis, Statistical Bayes Theorem Electronic Data Processing Sensitivity and Specificity Neural Networks, Computer Animals Algorithms Models, Neurological Humans
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Multi-scale compositionality: identifying the compositional structures of social dynamics using deep learning.

PloS one Apr 1, 2015
OBJECTIVE: Social media exhibit rich yet distinct temporal dynamics which cover a wide range of different scales. In order to study this complex dynamics, two fundamental questions revolve around (1) the signatures of social dynamics at different tim...
Algorithms Bayes Theorem Time Factors Machine Learning Social Behavior Social Media
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A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2015
Biological systems are capable of learning that certain stimuli are valuable while ignoring the many that are not, and thus perform feature selection. In machine learning, one effective feature selection approach is the least absolute shrinkage and s...
Machine Learning Algorithms Humans Reward Normal Distribution Online Systems Computer Simulation Models, Neurological Bayes Theorem
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Application of time dependent probabilistic collision state checkers in highly dynamic environments.

PloS one Mar 23, 2015
When computing the trajectory of an autonomous vehicle, inevitable collision states must be avoided at all costs, so no harm comes to the device or pedestrians around it. In dynamic environments, considering collisions as binary events is risky and i...
Probability Environment Robotics Artificial Intelligence Bayes Theorem Time Factors Humans Algorithms Accidents, Traffic Models, Theoretical
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Modelling the longevity of dental restorations by means of a CBR system.

BioMed research international Mar 19, 2015
The lifespan of dental restorations is limited. Longevity depends on the material used and the different characteristics of the dental piece. However, it is not always the case that the best and longest lasting material is used since patients may pre...
Models, Biological Neural Networks, Computer Humans Dental Restoration, Permanent Bayes Theorem
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Innovative Bayesian and parsimony phylogeny of dung beetles (coleoptera, scarabaeidae, scarabaeinae) enhanced by ontology-based partitioning of morphological characters.

PloS one Mar 17, 2015
Scarabaeine dung beetles are the dominant dung feeding group of insects and are widely used as model organisms in conservation, ecology and developmental biology. Due to the conflicts among 13 recently published phylogenies dealing with the higher-le...
Phylogeny Bayes Theorem Biological Ontologies Coleoptera Animals
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Artificial Intelligence Systems as Prognostic and Predictive Tools in Ovarian Cancer.

Annals of surgical oncology Mar 10, 2015
BACKGROUND: The ability to provide accurate prognostic and predictive information to patients is becoming increasingly important as clinicians enter an era of personalized medicine. For a disease as heterogeneous as epithelial ovarian cancer, convent...
Carcinoma, Ovarian Epithelial Cytoreduction Surgical Procedures Proportional Hazards Models Neoplasms, Glandular and Epithelial Predictive Value of Tests Humans Area Under Curve Support Vector Machine Bayes Theorem Neural Networks, Computer Decision Trees Algorithms Ovarian Neoplasms Survival Rate Prognosis ROC Curve Female
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