AIMC Topic:
Bayes Theorem

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Incremental Bayesian Category Learning From Natural Language.

Cognitive science Nov 2, 2015
Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or artificial stimuli. In this paper, we focus on categories acquired from natural language stimuli, that is, words (e.g., ...
Humans Bayes Theorem Models, Psychological Language Learning Natural Language Processing Concept Formation Language Development
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Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance.

Journal of immunology research Oct 4, 2015
Application of personalized medicine requires integration of different data to determine each patient's unique clinical constitution. The automated analysis of medical data is a growing field where different machine learning techniques are used to mi...
Bayes Theorem Humans Reproducibility of Results Observer Variation Neoplastic Cells, Circulating Algorithms Neoplasms Antigens, Surface Microscopy, Fluorescence Biomarkers Support Vector Machine
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Voxel-based Gaussian naïve Bayes classification of ischemic stroke lesions in individual T1-weighted MRI scans.

Journal of neuroscience methods Oct 1, 2015
BACKGROUND: Manual lesion delineation by an expert is the standard for lesion identification in MRI scans, but it is time-consuming and can introduce subjective bias. Alternative methods often require multi-modal MRI data, user interaction, scans fro...
Supervised Machine Learning Brain Ischemia Image Interpretation, Computer-Assisted Reproducibility of Results Aged Chronic Disease Young Adult Bayes Theorem Humans Middle Aged Stroke Brain Magnetic Resonance Imaging Adult Female Male
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Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.

Pharmaceutical research Sep 28, 2015
PURPOSE: Mouse efficacy studies are a critical hurdle to advance translational research of potential therapeutic compounds for many diseases. Although mouse liver microsomal (MLM) stability studies are not a perfect surrogate for in vivo studies of m...
Small Molecule Libraries Databases, Pharmaceutical Drug Discovery Mice Machine Learning Principal Component Analysis Animals Models, Biological Bayes Theorem Microsomes, Liver Pharmaceutical Preparations
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A Bayesian Model of the Uncanny Valley Effect for Explaining the Effects of Therapeutic Robots in Autism Spectrum Disorder.

PloS one Sep 21, 2015
One of the core features of autism spectrum disorder (ASD) is impaired reciprocal social interaction, especially in processing emotional information. Social robots are used to encourage children with ASD to take the initiative and to interact with th...
Robotics Bayes Theorem Psychotherapy Autism Spectrum Disorder Humans Child Algorithms Emotions Models, Psychological Interpersonal Relations Pattern Recognition, Visual
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Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.

Artificial intelligence in medicine Sep 8, 2015
OBJECTIVES: Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model,...
Neural Networks, Computer Decision Support Techniques Computer Simulation Humans Models, Statistical Bayes Theorem Forensic Medicine Information Storage and Retrieval Risk Factors Risk Assessment Causality Violence Uncertainty Choice Behavior
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A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems.

BMC systems biology Aug 28, 2015
BACKGROUND: There are increasing efforts to bring high-throughput systems biology techniques to bear on complex animal model systems, often with a goal of learning about underlying regulatory network structures (e.g., gene regulatory networks). Howev...
Macaca mulatta Bayes Theorem Malaria Transcription, Genetic Machine Learning Gene Expression Profiling Systems Biology Algorithms Animals
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Rediscovery of Good-Turing estimators via Bayesian nonparametrics.

Biometrics Jul 29, 2015
The problem of estimating discovery probabilities originated in the context of statistical ecology, and in recent years it has become popular due to its frequent appearance in challenging applications arising in genetics, bioinformatics, linguistics,...
Computer Simulation Sequence Analysis, DNA Machine Learning Algorithms Pattern Recognition, Automated Models, Statistical Expressed Sequence Tags Data Interpretation, Statistical Bayes Theorem
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A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2015
The tongue is a critical organ for a variety of functions, including swallowing, respiration, and speech. It contains intrinsic and extrinsic muscles that play an important role in changing its shape and position. Diffusion tensor imaging (DTI) has b...
Pattern Recognition, Automated Image Enhancement Diffusion Magnetic Resonance Imaging Bayes Theorem Tongue Image Interpretation, Computer-Assisted Sensitivity and Specificity Muscle, Skeletal Diagnosis, Differential Humans Machine Learning Algorithms Reproducibility of Results
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Relevance Vector Machines: Sparse Classification Methods for QSAR.

Journal of chemical information and modeling Jul 21, 2015
Sparse machine learning methods have provided substantial benefits to quantitative structure property modeling, as they make model interpretation simpler and generate models with improved predictivity. Sparsity is usually induced via Bayesian regular...
Bayes Theorem Quantitative Structure-Activity Relationship Algorithms Support Vector Machine
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