AIMC Topic: Probability

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Accelerating deep learning with memcomputing.

Neural networks : the official journal of the International Neural Network Society Nov 3, 2018
Restricted Boltzmann machines (RBMs) and their extensions, often called "deep-belief networks", are powerful neural networks that have found applications in the fields of machine learning and artificial intelligence. The standard way to train these m...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Deep Learning Probability
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Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits.

Genetic epidemiology Nov 2, 2018
The manifestation of complex traits is influenced by gene-gene and gene-environment interactions, and the identification of multifactor interactions is an important but challenging undertaking for genetic studies. Many complex phenotypes such as dise...
Risk Factors ROC Curve Gene Regulatory Networks Genotype Humans Phenotype Computer Simulation Probability Models, Genetic Epistasis, Genetic Principal Component Analysis Multifactor Dimensionality Reduction Atherosclerosis Quantitative Trait, Heritable Ethnicity
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Utilizing soft constraints to enhance medical relation extraction from the history of present illness in electronic medical records.

Journal of biomedical informatics Oct 4, 2018
Relation extraction between medical concepts from electronic medical records has pervasive applications as well as significance. However, previous researches utilizing machine learning algorithms judge the semantic types of medical concept pair menti...
Reproducibility of Results Deep Learning China Support Vector Machine Humans Algorithms Electronic Health Records Models, Statistical Regression Analysis Probability Medical Informatics
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Detecting drug-resistant tuberculosis in chest radiographs.

International journal of computer assisted radiology and surgery Oct 3, 2018
PURPOSE: Tuberculosis is a major global health threat claiming millions of lives each year. While the total number of tuberculosis cases has been decreasing over the last years, the rise of drug-resistant tuberculosis has reduced the chance of contro...
Humans Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Probability Radiography, Thoracic Pilot Projects ROC Curve Female Diagnosis, Differential Tuberculosis, Multidrug-Resistant Male Middle Aged
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Variable importance for sustaining macrophyte presence via random forests: data imputation and model settings.

Scientific reports Sep 28, 2018
Data sets plagued with missing data and performance-affecting model parameters represent recurrent issues within the field of data mining. Via random forests, the influence of data reduction, outlier and correlated variable removal and missing data i...
Machine Learning Araceae Nuphar Models, Biological Computer Simulation Hydrogen-Ion Concentration Temperature Data Mining Ecosystem Probability
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PISTON: Predicting drug indications and side effects using topic modeling and natural language processing.

Journal of biomedical informatics Sep 27, 2018
The process of discovering novel drugs to treat diseases requires a long time and high cost. It is important to understand side effects of drugs as well as their therapeutic effects, because these can seriously damage the patients due to unexpected a...
Data Mining Probability Medical Informatics Phenotype Humans Drug Repositioning Electronic Health Records Algorithms Natural Language Processing Systems Biology Area Under Curve Drug-Related Side Effects and Adverse Reactions
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Abstract concept learning in a simple neural network inspired by the insect brain.

PLoS computational biology Sep 17, 2018
The capacity to learn abstract concepts such as 'sameness' and 'difference' is considered a higher-order cognitive function, typically thought to be dependent on top-down neocortical processing. It is therefore surprising that honey bees apparantly h...
Neural Networks, Computer Odorants Machine Learning Probability Mushroom Bodies Software Learning Bees Animals Brain Behavior, Animal Cognition Computer Simulation Models, Neurological
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A comparison of word embeddings for the biomedical natural language processing.

Journal of biomedical informatics Sep 12, 2018
BACKGROUND: Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the ability of the vector representations being able to capture useful semantic properties and linguistic relationships between...
Humans Machine Learning Electronic Health Records Unified Medical Language System Models, Statistical Linguistics Natural Language Processing Minnesota PubMed Adult Information Storage and Retrieval Probability Male Female Medical Informatics Middle Aged Aged Semantics Adolescent Young Adult Family Health
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Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change.

Journal of biomedical informatics Sep 8, 2018
The consistent evolution of ontologies is a major challenge for systems using semantically enriched data, for example, for annotating, indexing, or reasoning. The biomedical domain is a typical example where ontologies, expressed with different forma...
Time Factors Computational Biology PubMed Probability Semantics Systematized Nomenclature of Medicine Biological Ontologies Stochastic Processes Machine Learning Algorithms Computers Reproducibility of Results
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A systematic study of the class imbalance problem in convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 29, 2018
In this study, we systematically investigate the impact of class imbalance on classification performance of convolutional neural networks (CNNs) and compare frequently used methods to address the issue. Class imbalance is a common problem that has be...
ROC Curve Humans Probability Neural Networks, Computer Machine Learning
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