AIMC Topic: Probability

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Link-topic model for biomedical abbreviation disambiguation.

Journal of biomedical informatics Dec 30, 2014
INTRODUCTION: The ambiguity of biomedical abbreviations is one of the challenges in biomedical text mining systems. In particular, the handling of term variants and abbreviations without nearby definitions is a critical issue. In this study, we adopt...
MEDLINE Medical Subject Headings Unified Medical Language System Linguistics Natural Language Processing Probability Information Storage and Retrieval Reproducibility of Results Support Vector Machine Models, Statistical Software Algorithms
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Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network.

IEEE transactions on neural networks and learning systems Dec 19, 2014
In this paper, we propose new methods for the choice and adaptation of the smoothing parameter of the probabilistic neural network (PNN). These methods are based on three reinforcement learning algorithms: Q(0)-learning, Q(λ)-learning, and stateless ...
Models, Theoretical Probability Reinforcement, Psychology Humans Neural Networks, Computer Algorithms
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Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.

Journal of biomedical informatics Dec 9, 2014
Modern healthcare is getting reshaped by growing Electronic Medical Records (EMR). Recently, these records have been shown of great value towards building clinical prediction models. In EMR data, patients' diseases and hospital interventions are capt...
Logistic Models Support Vector Machine Decision Making Electronic Health Records Reproducibility of Results Risk Factors Probability Medical Informatics International Classification of Diseases Regression Analysis Decision Trees Bayes Theorem Algorithms Prognosis Humans
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Latching chains in K-nearest-neighbor and modular small-world networks.

Network (Bristol, England) Nov 11, 2014
Latching dynamics retrieve pattern sequences successively by neural adaption and pattern correlation. We have previously proposed a modular latching chain model in Song et al. (2014) to better accommodate the structured transitions in the brain. Diff...
Brain Mapping Synapses Computer Simulation Humans Animals Probability Neural Networks, Computer Nerve Net Models, Neurological Nonlinear Dynamics Brain
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Estimates on compressed neural networks regression.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2014
When the neural element number n of neural networks is larger than the sample size m, the overfitting problem arises since there are more parameters than actual data (more variable than constraints). In order to overcome the overfitting problem, we p...
Algorithms Probability Neural Networks, Computer
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Quantifying the determinants of outbreak detection performance through simulation and machine learning.

Journal of biomedical informatics Nov 6, 2014
OBJECTIVE: To develop a probabilistic model for discovering and quantifying determinants of outbreak detection and to use the model to predict detection performance for new outbreaks.
Humans Computational Biology Sensitivity and Specificity Machine Learning Bayes Theorem False Positive Reactions Disease Outbreaks Algorithms Probability ROC Curve Computer Simulation
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Properties and Performance of Imperfect Dual Neural Network-Based kWTA Networks.

IEEE transactions on neural networks and learning systems Nov 3, 2014
The dual neural network (DNN)-based k -winner-take-all ( k WTA) model is an effective approach for finding the k largest inputs from n inputs. Its major assumption is that the threshold logic units (TLUs) can be implemented in a perfect way. However,...
Humans Computer Simulation Feedback Time Factors Probability Neural Networks, Computer Algorithms Decision Support Techniques
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Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.

Statistics in medicine Oct 15, 2014
Inverse probability weights used to fit marginal structural models are typically estimated using logistic regression. However, a data-adaptive procedure may be able to better exploit information available in measured covariates. By combining predicti...
Models, Statistical Data Interpretation, Statistical Bias Computer Simulation HIV Infections Spain Humans Antiretroviral Therapy, Highly Active Logistic Models Mortality Probability Machine Learning Confounding Factors, Epidemiologic Confidence Intervals
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Is extreme learning machine feasible? A theoretical assessment (part II).

IEEE transactions on neural networks and learning systems Jul 23, 2014
An extreme learning machine (ELM) can be regarded as a two-stage feed-forward neural network (FNN) learning system that randomly assigns the connections with and within hidden neurons in the first stage and tunes the connections with output neurons i...
Neurons Probability Computer Simulation Learning Models, Neurological Neural Networks, Computer Humans Artificial Intelligence Algorithms
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Diagnostic classification of specific phobia subtypes using structural MRI data: a machine-learning approach.

Journal of neural transmission (Vienna, Austria : 1996) Jul 19, 2014
While neuroimaging research has advanced our knowledge about fear circuitry dysfunctions in anxiety disorders, findings based on diagnostic groups do not translate into diagnostic value for the individual patient. Machine-learning generates predictiv...
Humans Retrospective Studies Female Artificial Intelligence Brain Brain Mapping Predictive Value of Tests Probability Psychiatric Status Rating Scales Phobic Disorders Young Adult Adolescent Imaging, Three-Dimensional Normal Distribution Adult Magnetic Resonance Imaging Male
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