AIMC Topic: Probability

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A unifying framework for interpreting and predicting mutualistic systems.

Nature communications Jan 16, 2019
Coarse-grained rules are widely used in chemistry, physics and engineering. In biology, however, such rules are less common and under-appreciated. This gap can be attributed to the difficulty in establishing general rules to encompass the immense div...
Calibration Food Chain Symbiosis Models, Biological Probability Support Vector Machine Feasibility Studies
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A proposal of prior probability-oriented clustering in feature encoding strategies.

PloS one Jan 10, 2019
Codebook-based feature encodings are a standard framework for image recognition issues. A codebook is usually constructed by clusterings, such as the k-means and the Gaussian Mixture Model (GMM). A codebook size is an important factor to decide the t...
Image Processing, Computer-Assisted Support Vector Machine Cluster Analysis Probability Datasets as Topic Pattern Recognition, Automated
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Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.

Molecular psychiatry Jan 4, 2019
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts rising. Family studies have estimated substantial heritability of suicidal behavior; however, collecting the sample sizes necessary for successful ge...
Humans Machine Learning Phenotype Electronic Health Records Genome-Wide Association Study Male Health Surveys Suicide, Attempted Biological Specimen Banks Suicidal Ideation United Kingdom Probability Tennessee White People Female Risk Factors Mental Health
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Machine learning in suicide science: Applications and ethics.

Behavioral sciences & the law Jan 4, 2019
For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an ...
Decision Support Techniques Cluster Analysis Research Suicide Prevention Humans Unsupervised Machine Learning Suicide Risk Assessment Machine Learning Longitudinal Studies Ethics, Medical Algorithms Probability
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Mapping the Delirium Literature Through Probabilistic Topic Modeling and Network Analysis: A Computational Scoping Review.

Psychosomatics Dec 22, 2018
BACKGROUND: Delirium is an acute confusional state, associated with morbidity and mortality in diverse medically-ill populations. Delirium is recognized, through both professional competencies and instructional materials, as a core topic in consultat...
Humans Delirium Psychiatry Probability Bibliometrics
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Blind Channel and Data Estimation Using Fuzzy Logic-Empowered Opposite Learning-Based Mutant Particle Swarm Optimization.

Computational intelligence and neuroscience Dec 6, 2018
Multiple-input and multiple-output (MIMO) technology is one of the latest technologies to enhance the capacity of the channel as well as the service quality of the communication system. By using the MIMO technology at the physical layer, the estimati...
Algorithms Fuzzy Logic Artificial Intelligence Probability Computer Simulation Learning
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Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next-Generation Sequencing Data.

Risk analysis : an official publication of the Society for Risk Analysis Nov 21, 2018
Next-generation sequencing (NGS) data present an untapped potential to improve microbial risk assessment (MRA) through increased specificity and redefinition of the hazard. Most of the MRA models do not account for differences in survivability and vi...
Linear Models Food Listeriosis Sensitivity and Specificity Virulence Humans Risk Assessment Food Microbiology Machine Learning High-Throughput Nucleotide Sequencing Genetic Variation Databases, Genetic Foodborne Diseases Probability Algorithms Listeria monocytogenes Phenotype
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Machine learning in critical care: state-of-the-art and a sepsis case study.

Biomedical engineering online Nov 20, 2018
BACKGROUND: Like other scientific fields, such as cosmology, high-energy physics, or even the life sciences, medicine and healthcare face the challenge of an extremely quick transformation into data-driven sciences. This challenge entails the dauntin...
Software Data Analysis Prospective Studies Reproducibility of Results Sepsis Prognosis Intensive Care Units Humans Artificial Intelligence Machine Learning Probability Medical Informatics Critical Care Computer Graphics Expert Systems
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Deep CNNs with Robust LBP Guiding Pooling for Face Recognition.

Sensors (Basel, Switzerland) Nov 10, 2018
Pooling layer in Convolutional Neural Networks (CNNs) is designed to reduce dimensions and computational complexity. Unfortunately, CNN is easily disturbed by noise in images when extracting features from input images. The traditional pooling layer d...
Neural Networks, Computer Humans Probability Algorithms Image Processing, Computer-Assisted Face
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A 0.086-mm 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS.

IEEE transactions on biomedical circuits and systems Nov 9, 2018
Shifting computing architectures from von Neumann to event-based spiking neural networks (SNNs) uncovers new opportunities for low-power processing of sensory data in applications such as vision or sensorimotor control. Exploring roads toward cogniti...
Semiconductors Probability Synapses Oxides Internet Metals Neural Networks, Computer Neurons Neuronal Plasticity Time Factors Action Potentials
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