AIMC Topic: Models, Statistical

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Non-fragile H∞ synchronization of memristor-based neural networks using passivity theory.

Neural networks : the official journal of the International Neural Network Society Nov 18, 2015
In this paper, we formulate and investigate the mixed H∞ and passivity based synchronization criteria for memristor-based recurrent neural networks with time-varying delays. Some sufficient conditions are obtained to guarantee the synchronization of ...
Neural Networks, Computer Algorithms Computer Simulation Models, Statistical Nonlinear Dynamics
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Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors.

Journal of molecular graphics & modelling Nov 17, 2015
Anthrax is a highly lethal, acute infectious disease caused by the rod-shaped, Gram-positive bacterium Bacillus anthracis. The anthrax toxin lethal factor (LF), a zinc metalloprotease secreted by the bacilli, plays a key role in anthrax pathogenesis ...
Antigens, Bacterial Small Molecule Libraries Antidotes Bacillus anthracis Models, Chemical High-Throughput Screening Assays Databases, Chemical Bacterial Toxins Models, Statistical Predictive Value of Tests Structure-Activity Relationship User-Computer Interface Support Vector Machine
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Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition.

PloS one Nov 16, 2015
Face recognition is challenging especially when the images from different persons are similar to each other due to variations in illumination, expression, and occlusion. If we have sufficient training images of each person which can span the facial v...
Facial Recognition Humans Lighting Image Interpretation, Computer-Assisted Artificial Intelligence Pattern Recognition, Automated Machine Learning Male Software Models, Statistical Algorithms Sample Size Databases, Factual Least-Squares Analysis Female
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Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC.

IEEE transactions on nanobioscience Nov 12, 2015
In this study, we used structural and evolutionary based features to represent the sequences of gram-positive and gram-negative subcellular localizations. To do this, we proposed a normalization method to construct a normalize Position Specific Scori...
Gram-Negative Bacteria Gram-Positive Bacteria Intracellular Space Support Vector Machine Models, Statistical Bayes Theorem
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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics Nov 11, 2015
Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both pr...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Treatment Outcome Support Vector Machine Models, Statistical Radiation Oncology Prognosis Reproducibility of Results Lung Neoplasms Logistic Models Radiation Pneumonitis Xerostomia Radiotherapy Dosage Radiotherapy Esophagitis
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Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.

Computer methods and programs in biomedicine Nov 6, 2015
Female breast cancer is the second most common cancer in the world. Several efforts in artificial intelligence have been made to help improving the diagnostic accuracy at earlier stages. However, the identification of breast abnormalities, like masse...
Pectoralis Muscles Pattern Recognition, Automated Nerve Net Normal Distribution Diagnosis, Computer-Assisted Databases, Factual Mammography Fuzzy Logic Female Models, Statistical Bayes Theorem Humans Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Breast Artificial Intelligence Algorithms
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Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom.

Pediatric radiology Nov 6, 2015
BACKGROUND: CT of pediatric phantoms can provide useful guidance to the optimization of knowledge-based iterative reconstruction CT.
Radiographic Image Enhancement Computer Simulation Radiation Exposure Tomography, X-Ray Computed Subtraction Technique Female Sensitivity and Specificity Radiation Protection Humans Reproducibility of Results Knowledge Bases Male Machine Learning Child, Preschool Radiation Dosage Models, Statistical Phantoms, Imaging
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Learning to Estimate Dynamical State with Probabilistic Population Codes.

PLoS computational biology Nov 5, 2015
Tracking moving objects, including one's own body, is a fundamental ability of higher organisms, playing a central role in many perceptual and motor tasks. While it is unknown how the brain learns to follow and predict the dynamics of objects, it is ...
Computational Biology Models, Neurological Models, Statistical Proprioception Humans Neural Networks, Computer Algorithms Computer Simulation
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Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
We propose Latent Class Allocation (LCA) and Discriminative Labeled Latent Dirichlet Allocation (DL-LDA), two novel interpretable probabilistic latent variable models for automatic annotation of clinical text. Both models separate the terms that are ...
Humans Bayes Theorem Pediatric Obesity Interviews as Topic Support Vector Machine Adolescent Models, Statistical Child Natural Language Processing
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Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.

PloS one Nov 5, 2015
Following the unconventional gas revolution, the forecasting of natural gas prices has become increasingly important because the association of these prices with those of crude oil has weakened. With this as motivation, we propose some modified hybri...
Time Factors Models, Theoretical Models, Statistical Commerce Natural Gas Humans Petroleum Neural Networks, Computer Forecasting
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