AIMC Topic:
Supervised Machine Learning

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Staged heterogeneity learning to identify conformational B-cell epitopes from antigen sequences.

BMC genomics Mar 14, 2017
BACKGROUND: The broad heterogeneity of antigen-antibody interactions brings tremendous challenges to the design of a widely applicable learning algorithm to identify conformational B-cell epitopes. Besides the intrinsic heterogeneity introduced by di...
Supervised Machine Learning Antigens Binding Sites Models, Statistical B-Lymphocytes Protein Conformation, alpha-Helical Protein Conformation, beta-Strand Epitope Mapping Antigen-Antibody Complex Protein Interaction Domains and Motifs Epitopes, B-Lymphocyte Humans Protein Binding
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A review of supervised machine learning applied to ageing research.

Biogerontology Mar 6, 2017
Broadly speaking, supervised machine learning is the computational task of learning correlations between variables in annotated data (the training set), and using this information to create a predictive model capable of inferring annotations for new ...
Computational Biology Models, Biological Supervised Machine Learning Computer Simulation Humans Animals Research Design Aging
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Extracting microRNA-gene relations from biomedical literature using distant supervision.

PloS one Mar 6, 2017
Many biomedical relation extraction approaches are based on supervised machine learning, requiring an annotated corpus. Distant supervision aims at training a classifier by combining a knowledge base with a corpus, reducing the amount of manual effor...
Supervised Machine Learning Data Mining Web Browser MicroRNAs Humans Publications Algorithms
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Two-way learning with one-way supervision for gene expression data.

BMC bioinformatics Mar 4, 2017
BACKGROUND: A family of parsimonious Gaussian mixture models for the biclustering of gene expression data is introduced. Biclustering is accommodated by adopting a mixture of factor analyzers model with a binary, row-stochastic factor loadings matrix...
Rats Models, Theoretical Databases, Genetic Male Humans Transcriptome Biomarkers Animals Diabetes Mellitus, Experimental Cluster Analysis Supervised Machine Learning Bayes Theorem Rats, Zucker Gene Expression
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Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 1, 2017
This paper addresses the problem of face recognition when there is only few, or even only a single, labeled examples of the face that we wish to recognize. Moreover, these examples are typically corrupted by nuisance variables, both linear (i.e., add...
Face Pattern Recognition, Automated Biometric Identification Male Image Processing, Computer-Assisted Supervised Machine Learning Humans Algorithms Female
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Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning.

Cognitive processing Feb 25, 2017
In humans, efficient recognition of written symbols is thought to rely on a hierarchical processing system, where simple features are progressively combined into more abstract, high-level representations. Here, we present a computational model of Per...
Learning Neural Networks, Computer Unsupervised Machine Learning Humans Handwriting Machine Learning Supervised Machine Learning Transfer, Psychology Computer Simulation
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A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and -Nearest Neighbor Graph.

Computational intelligence and neuroscience Feb 20, 2017
Semisupervised Discriminant Analysis (SDA) is a semisupervised dimensionality reduction algorithm, which can easily resolve the out-of-sample problem. Relative works usually focus on the geometric relationships of data points, which are not obvious, ...
Face Databases, Factual Pattern Recognition, Automated Classification Discriminant Analysis Humans Supervised Machine Learning Algorithms
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Using Active Learning to Identify Health Information Technology Related Patient Safety Events.

Applied clinical informatics Jan 18, 2017
The widespread adoption of health information technology (HIT) has led to new patient safety hazards that are often difficult to identify. Patient safety event reports, which are self-reported descriptions of safety hazards, provide one view of poten...
Uncertainty Supervised Machine Learning Medical Informatics Humans Patient Safety
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Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.

IEEE transactions on pattern analysis and machine intelligence Jan 16, 2017
This paper aims to develop a novel cost-effective framework for face identification, which progressively maintains a batch of classifiers with the increasing face images of different individuals. By naturally combining two recently rising techniques:...
Databases, Factual Image Processing, Computer-Assisted Supervised Machine Learning Cost-Benefit Analysis Face Humans Biometric Identification Algorithms
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Orthogonal self-guided similarity preserving projection for classification and clustering.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2017
A suitable feature representation can faithfully preserve the intrinsic structure of data. However, traditional dimensionality reduction (DR) methods commonly use the original input features to define the intrinsic structure, which makes the estimate...
Supervised Machine Learning Humans Artificial Intelligence Cluster Analysis
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