AIMC Topic: Statistics as Topic

Clear Filters Showing 61 to 70 of 98 articles

Active learning for ontological event extraction incorporating named entity recognition and unknown word handling.

Journal of biomedical semantics Apr 27, 2016
BACKGROUND: Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled data, which are required for ...
Machine Learning Natural Language Processing Biological Ontologies Statistics as Topic Data Mining
View on PubMed DOI

Correlations and Neuronal Population Information.

Annual review of neuroscience Apr 21, 2016
Brain function involves the activity of neuronal populations. Much recent effort has been devoted to measuring the activity of neuronal populations in different parts of the brain under various experimental conditions. Population activity patterns co...
Statistics as Topic Humans Artificial Intelligence Brain Action Potentials Neurons Animals Models, Neurological
View on PubMed DOI

Classifying Force Spectroscopy of DNA Pulling Measurements Using Supervised and Unsupervised Machine Learning Methods.

Journal of chemical information and modeling Apr 4, 2016
Dynamic force spectroscopy (DFS) measurements on biomolecules typically require classifying thousands of repeated force spectra prior to data analysis. Here, we study classification of atomic force microscope-based DFS measurements using machine-lear...
Unsupervised Machine Learning Base Sequence DNA Supervised Machine Learning Statistics as Topic Mechanical Phenomena Biomechanical Phenomena Azo Compounds Ultraviolet Rays Spectrum Analysis
View on PubMed DOI

A new Growing Neural Gas for clustering data streams.

Neural networks : the official journal of the International Neural Network Society Feb 26, 2016
Clustering data streams is becoming the most efficient way to cluster a massive dataset. This task requires a process capable of partitioning observations continuously with restrictions of memory and time. In this paper we present a new algorithm, ca...
Algorithms Databases, Factual Cluster Analysis Humans Neural Networks, Computer Memory Datasets as Topic Statistics as Topic
View on PubMed DOI

Prototype-based models in machine learning.

Wiley interdisciplinary reviews. Cognitive science Jan 21, 2016
An overview is given of prototype-based models in machine learning. In this framework, observations, i.e., data, are stored in terms of typical representatives. Together with a suitable measure of similarity, the systems can be employed in the contex...
Pattern Recognition, Automated Statistics as Topic Computer Simulation Neurons Data Mining Neural Networks, Computer Machine Learning
View on PubMed DOI

Two fast and accurate heuristic RBF learning rules for data classification.

Neural networks : the official journal of the International Neural Network Society Jan 4, 2016
This paper presents new Radial Basis Function (RBF) learning methods for classification problems. The proposed methods use some heuristics to determine the spreads, the centers and the number of hidden neurons of network in such a way that the higher...
Neurons Statistics as Topic Computer Heuristics Algorithms Time Factors Neural Networks, Computer Machine Learning Humans
View on PubMed DOI

Reductions in pulmonary function detected in patients with lymphangioleiomyomatosis: An analysis of the Japanese National Research Project on Intractable Diseases database.

Respiratory investigation Dec 22, 2015
BACKGROUND: In lymphangioleiomyomatosis (LAM), predicting lung disease progression is essential for treatment planning. However, no previous Japanese studies have attempted to predict the reductions in pulmonary function that occur in LAM patients.
Statistics as Topic Middle Aged Female Japan Lymphangioleiomyomatosis Lung Neoplasms Forced Expiratory Volume Adult Databases as Topic Male Humans Pregnancy
View on PubMed DOI

Correlational Neural Networks.

Neural computation Dec 14, 2015
Common representation learning (CRL), wherein different descriptions (or views) of the data are embedded in a common subspace, has been receiving a lot of attention recently. Two popular paradigms here are canonical correlation analysis (CCA)-based a...
Humans Models, Neurological Pattern Recognition, Automated Statistics as Topic Neural Networks, Computer Learning
View on PubMed DOI

Centralized and decentralized global outer-synchronization of asymmetric recurrent time-varying neural network by data-sampling.

Neural networks : the official journal of the International Neural Network Society Dec 2, 2015
In this paper, we discuss outer-synchronization of the asymmetrically connected recurrent time-varying neural networks. By using both centralized and decentralized discretization data sampling principles, we derive several sufficient conditions based...
Algorithms Time Factors Statistics as Topic Nonlinear Dynamics Neural Networks, Computer
View on PubMed DOI

Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
INTRODUCTION: Annual eye examinations are recommended for diabetic patients in order to detect diabetic retinopathy and other eye conditions that arise from diabetes. Medically underserved urban communities in the US have annual screening rates that ...
Public Health Informatics Safety-net Providers Statistics as Topic Medically Underserved Area Humans United States Sensitivity and Specificity Diabetic Retinopathy Nutrition Surveys Urban Population Machine Learning Retinal Diseases
View on PubMed
Popular Topics
Recent Journals