AIMC Topic: Probability

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PACE: Probabilistic Assessment for Contributor Estimation- A machine learning-based assessment of the number of contributors in DNA mixtures.

Forensic science international. Genetics Nov 24, 2016
The deconvolution of DNA mixtures remains one of the most critical challenges in the field of forensic DNA analysis. In addition, of all the data features required to perform such deconvolution, the number of contributors in the sample is widely cons...
DNA Fingerprinting Humans Machine Learning Algorithms Models, Statistical DNA Probability
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Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.

International journal of computer assisted radiology and surgery Nov 24, 2016
PURPOSE: Multi-organ segmentation from CT images is an essential step for computer-aided diagnosis and surgery planning. However, manual delineation of the organs by radiologists is tedious, time-consuming and poorly reproducible. Therefore, we propo...
Algorithms Probability Automation Humans Tomography, X-Ray Computed Spleen Neural Networks, Computer Kidney Imaging, Three-Dimensional Abdomen Liver
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Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research.

Computational intelligence and neuroscience Oct 31, 2016
The effect of traffic flow prediction plays an important role in routing selection. Traditional traffic flow forecasting methods mainly include linear, nonlinear, neural network, and Time Series Analysis method. However, all of them have some shortco...
Automobiles Data Mining Probability Algorithms Humans Forecasting Automobile Driving Motor Vehicles Neural Networks, Computer Time Factors
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Synchronization of discrete-time neural networks with delays and Markov jump topologies based on tracker information.

Neural networks : the official journal of the International Neural Network Society Oct 27, 2016
In this paper, synchronization in an array of discrete-time neural networks (DTNNs) with time-varying delays coupled by Markov jump topologies is considered. It is assumed that the switching information can be collected by a tracker with a certain pr...
Markov Chains Algorithms Time Factors Probability Humans Neural Networks, Computer
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A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder.

Translational psychiatry Oct 25, 2016
Major depressive disorder (MDD) is a critical cause of morbidity and disability with an economic cost of hundreds of billions of dollars each year, necessitating more effective treatment strategies and novel approaches to translational research. A no...
Humans Precision Medicine Depressive Disorder, Major Gene Expression Profiling Case-Control Studies Female Adult Male Probability Likelihood Functions Models, Psychological Support Vector Machine Predictive Value of Tests Genetic Markers
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Human Motion Retrieval Based on Statistical Learning and Bayesian Fusion.

PloS one Oct 12, 2016
A novel motion retrieval approach based on statistical learning and Bayesian fusion is presented. The approach includes two primary stages. (1) In the learning stage, fuzzy clustering is utilized firstly to get the representative frames of motions, a...
Cluster Analysis Bayes Theorem Probability Humans Artificial Intelligence Information Storage and Retrieval Algorithms Pattern Recognition, Automated Databases, Factual Movement
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Peripersonal Space and Margin of Safety around the Body: Learning Visuo-Tactile Associations in a Humanoid Robot with Artificial Skin.

PloS one Oct 6, 2016
This paper investigates a biologically motivated model of peripersonal space through its implementation on a humanoid robot. Guided by the present understanding of the neurophysiology of the fronto-parietal system, we developed a computational model ...
Skin, Artificial Space Perception Personal Space Touch Perception Safety Probability Visual Perception Humans Learning Robotics
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Delay-distribution-dependent H state estimation for delayed neural networks with (x,v)-dependent noises and fading channels.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2016
This paper deals with the H state estimation problem for a class of discrete-time neural networks with stochastic delays subject to state- and disturbance-dependent noises (also called (x,v)-dependent noises) and fading channels. The time-varying sto...
Models, Theoretical Noise Neurons Probability Algorithms Computer Simulation Time Factors Neural Networks, Computer
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Emergence of low noise frustrated states in E/I balanced neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2016
We study emerging phenomena in binary neural networks where, with a probability c synaptic intensities are chosen according with a Hebbian prescription, and with probability (1-c) there is an extra random contribution to synaptic weights. This new te...
Memory Probability Synapses Random Allocation Cerebral Cortex Monte Carlo Method Nerve Net Neural Networks, Computer Animals Noise Neurons
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Accuracy of land use change detection using support vector machine and maximum likelihood techniques for open-cast coal mining areas.

Environmental monitoring and assessment Jul 27, 2016
One objective of the present study was to evaluate the performance of support vector machine (SVM)-based image classification technique with the maximum likelihood classification (MLC) technique for a rapidly changing landscape of an open-cast mine. ...
Humans India Environmental Monitoring Support Vector Machine Probability Conservation of Natural Resources Coal Mining
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