AIMC Topic: Classification

Clear Filters Showing 61 to 70 of 100 articles

Changing techniques in crop plant classification: molecularization at the National Institute of Agricultural Botany during the 1980s.

Annals of science Feb 16, 2017
Modern methods of analysing biological materials, including protein and DNA sequencing, are increasingly the objects of historical study. Yet twentieth-century taxonomic techniques have been overlooked in one of their most important contexts: agricul...
Machine Learning Spectroscopy, Near-Infrared Crops, Agricultural Classification Electrophoresis History, 20th Century United Kingdom
View on PubMed DOI

Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments.

PloS one Sep 14, 2016
Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that ...
Algorithms Supervised Machine Learning Humans Machine Learning Classification Acoustics Problem-Based Learning Sound
View on PubMed DOI

Topic detection using paragraph vectors to support active learning in systematic reviews.

Journal of biomedical informatics Jun 10, 2016
Systematic reviews require expert reviewers to manually screen thousands of citations in order to identify all relevant articles to the review. Active learning text classification is a supervised machine learning approach that has been shown to signi...
Humans Machine Learning Support Vector Machine Review Literature as Topic Semantics Classification
View on PubMed DOI

Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.

Neural networks : the official journal of the International Neural Network Society Aug 21, 2015
A challenging problem when studying a dynamical system is to find the interdependencies among its individual components. Several algorithms have been proposed to detect directed dynamical influences between time series. Two of the most used approache...
Causality Classification Entropy Computer Simulation Models, Theoretical Neural Networks, Computer Algorithms
View on PubMed DOI

OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training.

Neural networks : the official journal of the International Neural Network Society Aug 12, 2015
In this paper we consider the training of single hidden layer neural networks by pseudoinversion, which, in spite of its popularity, is sometimes affected by numerical instability issues. Regularization is known to be effective in such cases, so that...
Reproducibility of Results Classification Machine Learning Algorithms Neural Networks, Computer
View on PubMed DOI

Automatic classification of diseases from free-text death certificates for real-time surveillance.

BMC medical informatics and decision making Jul 15, 2015
BACKGROUND: Death certificates provide an invaluable source for mortality statistics which can be used for surveillance and early warnings of increases in disease activity and to support the development and monitoring of prevention or response strate...
Classification Epidemiological Monitoring New South Wales Death Certificates Humans Machine Learning
View on PubMed DOI

Toward Synthesizing Our Knowledge of Morphology: Using Ontologies and Machine Reasoning to Extract Presence/Absence Evolutionary Phenotypes across Studies.

Systematic biology May 26, 2015
The reality of larger and larger molecular databases and the need to integrate data scalably have presented a major challenge for the use of phenotypic data. Morphology is currently primarily described in discrete publications, entrenched in noncompu...
Computational Biology Data Interpretation, Statistical Biological Ontologies Classification Phenotype Animals Biological Evolution Amphibians
View on PubMed DOI

Letter identification and the neural image classifier.

Journal of vision Feb 12, 2015
Letter identification is an important visual task for both practical and theoretical reasons. To extend and test existing models, we have reviewed published data for contrast sensitivity for letter identification as a function of size and have also c...
Retinal Ganglion Cells Classification Neural Networks, Computer Retina Contrast Sensitivity Humans Models, Psychological Pattern Recognition, Visual
View on PubMed DOI

A new class of multi-stable neural networks: stability analysis and learning process.

Neural networks : the official journal of the International Neural Network Society Feb 7, 2015
Recently, multi-stable Neural Networks (NN) with exponential number of attractors have been presented and analyzed theoretically; however, the learning process of the parameters of these systems while considering stability conditions and specificatio...
Algorithms Classification Neural Networks, Computer
View on PubMed DOI

16S classifier: a tool for fast and accurate taxonomic classification of 16S rRNA hypervariable regions in metagenomic datasets.

PloS one Feb 3, 2015
The diversity of microbial species in a metagenomic study is commonly assessed using 16S rRNA gene sequencing. With the rapid developments in genome sequencing technologies, the focus has shifted towards the sequencing of hypervariable regions of 16S...
Genetic Variation RNA, Ribosomal, 16S Classification Metagenomics Databases, Genetic Machine Learning Time Factors
View on PubMed DOI
Popular Topics
Recent Journals