AIMC Topic: Probability

Clear Filters Showing 191 to 200 of 430 articles

Prediction of Intracranial Aneurysm Risk using Machine Learning.

Scientific reports Apr 24, 2020
An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warranted to provide adequate radiological screening guidelines and effectively allocate medical resources. We developed a model for pre-diagnosis IA predic...
Male Middle Aged Incidence Machine Learning Female Risk Factors Probability Databases as Topic Intracranial Aneurysm ROC Curve Area Under Curve Models, Biological Humans
View on PubMed DOI

A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.

Biomedical engineering online Apr 16, 2020
BACKGROUND: Generally, brain-computer interfaces (BCIs) require calibration before usage to ensure efficient performance. Therefore, each BCI user has to attend a certain number of calibration sessions to be able to use the system. However, such cali...
Signal Processing, Computer-Assisted Electrodes Probability Calibration Brain-Computer Interfaces Machine Learning Time Factors Electroencephalography Humans
View on PubMed DOI

Deep learning for survival outcomes.

Statistics in medicine Apr 13, 2020
Deep learning is a class of machine learning algorithms that are popular for building risk prediction models. When observations are censored, the outcomes are only partially observed and standard deep learning algorithms cannot be directly applied. W...
Humans Machine Learning Probability Software Survival Analysis Algorithms Deep Learning
View on PubMed DOI

Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991).

Neural networks : the official journal of the International Neural Network Society Apr 13, 2020
I review unsupervised or self-supervised neural networks playing minimax games in game-theoretic settings: (i) Artificial Curiosity (AC, 1990) is based on two such networks. One network learns to generate a probability distribution over outputs, the ...
Humans Probability Neural Networks, Computer Goals Artificial Intelligence Forecasting Unsupervised Machine Learning
View on PubMed DOI

Noise can speed backpropagation learning and deep bidirectional pretraining.

Neural networks : the official journal of the International Neural Network Society Apr 11, 2020
We show that the backpropagation algorithm is a special case of the generalized Expectation-Maximization (EM) algorithm for iterative maximum likelihood estimation. We then apply the recent result that carefully chosen noise can speed the average con...
Probability Algorithms Deep Learning Neural Networks, Computer Neurons
View on PubMed DOI

Extracting boolean and probabilistic rules from trained neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 3, 2020
This paper presents two approaches to extracting rules from a trained neural network consisting of linear threshold functions. The first one leads to an algorithm that extracts rules in the form of Boolean functions. Compared with an existing one, th...
Neural Networks, Computer Algorithms Animals Humans Neurons Probability
View on PubMed DOI

Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set.

International journal of audiology Feb 24, 2020
Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiological Function...
Data Interpretation, Statistical Probability Expert Systems Databases, Factual Reproducibility of Results Models, Statistical Correction of Hearing Impairment Datasets as Topic Hearing Tests Audiology Humans
View on PubMed DOI

iLoF: An intelligent Lab on Fiber Approach for Human Cancer Single-Cell Type Identification.

Scientific reports Feb 21, 2020
With the advent of personalized medicine, there is a movement to develop "smaller" and "smarter" microdevices that are able to distinguish similar cancer subtypes. Tumor cells display major differences when compared to their natural counterparts, due...
Probability Neoplasms Humans Optical Tweezers Cell Line, Tumor Artificial Intelligence Image Processing, Computer-Assisted Single-Cell Analysis Signal Processing, Computer-Assisted Optical Fibers
View on PubMed DOI

Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis.

Physical and engineering sciences in medicine Feb 10, 2020
While proton therapy can offer increased sparing of healthy tissue compared with X-ray therapy, it can be difficult to predict whether a benefit can be expected for an individual patient. Predictive modelling may aid in this respect. However, the pre...
Uncertainty Radiotherapy, Intensity-Modulated Life Expectancy Proton Therapy Female Quality of Life Child, Preschool Humans Models, Theoretical Probability Fuzzy Logic Markov Chains Patient Selection Quality-Adjusted Life Years
View on PubMed DOI

A Multi-Modal Person Perception Framework for Socially Interactive Mobile Service Robots.

Sensors (Basel, Switzerland) Jan 28, 2020
In order to meet the increasing demands of mobile service robot applications, a dedicated perception module is an essential requirement for the interaction with users in real-world scenarios. In particular, multi sensor fusion and human re-identifica...
Rehabilitation Color Hospitals, Public Image Processing, Computer-Assisted Humans Posture Benchmarking Probability Walking Robotics Exercise Face User-Computer Interface Normal Distribution
View on PubMed DOI
Popular Topics
Recent Journals