AIMC Topic: Datasets as Topic

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Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence.

BMC systems biology Dec 14, 2017
BACKGROUND: Positive semi-definiteness is a critical property in kernel methods for Support Vector Machine (SVM) by which efficient solutions can be guaranteed through convex quadratic programming. However, a lot of similarity functions in applicatio...
Support Vector Machine Supervised Machine Learning Datasets as Topic Pattern Recognition, Automated Artificial Intelligence Algorithms
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In silico toxicity profiling of natural product compound libraries from African flora with anti-malarial and anti-HIV properties.

Computational biology and chemistry Dec 6, 2017
This paper describes an analysis of the diversity and chemical toxicity assessment of three chemical libraries of compounds from African flora (the p-ANAPL, AfroMalariaDb, and Afro-HIV), respectively containing compounds exhibiting activities against...
Small Molecule Libraries Models, Molecular Africa Datasets as Topic Molecular Structure Anti-HIV Agents Humans Antimalarials Principal Component Analysis Machine Learning Mutagens Computer Simulation Maximum Tolerated Dose
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Residual Convolutional Neural Network for the Determination of Status in Low- and High-Grade Gliomas from MR Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 22, 2017
Isocitrate dehydrogenase () mutations in glioma patients confer longer survival and may guide treatment decision making. We aimed to predict the status of gliomas from MR imaging by applying a residual convolutional neural network to preoperative r...
Brain Retrospective Studies Female Aged Humans Neural Networks, Computer Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Preoperative Period Brain Neoplasms Mutation Aged, 80 and over Isocitrate Dehydrogenase Male Datasets as Topic Young Adult Predictive Value of Tests Middle Aged Adult Neoplasm Grading
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A regularization path algorithm for support vector ordinal regression.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2017
Support vector ordinal regression (SVOR) is a popular method for tackling ordinal regression problems. Solution path provides a compact representation of optimal solutions for all values of regularization parameter, which is extremely useful for mode...
Algorithms Support Vector Machine Datasets as Topic
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A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data.

Computational intelligence and neuroscience Nov 15, 2017
Anomaly detection, which aims to identify observations that deviate from a nominal sample, is a challenging task for high-dimensional data. Traditional distance-based anomaly detection methods compute the neighborhood distance between each observatio...
Algorithms Models, Theoretical Discriminant Analysis Humans Artificial Intelligence Datasets as Topic Pattern Recognition, Automated
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Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Molecular pharmaceutics Nov 13, 2017
Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fingerprint type molecular descriptors paired with Bayesian methods resulted in the widespread use of t...
Machine Learning Drug Discovery Bayes Theorem Datasets as Topic Neural Networks, Computer
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Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning.

Proteins Oct 31, 2017
In this study, we report the evaluation of the residue-residue contacts predicted by our three different methods in the CASP12 experiment, focusing on studying the impact of multiple sequence alignment, residue coevolution, and machine learning on co...
Protein Folding Sequence Alignment Sequence Analysis, Protein Computational Biology Proteins Databases, Protein Humans Crystallography, X-Ray Protein Conformation Machine Learning Models, Molecular Algorithms Datasets as Topic
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Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.

NeuroImage Oct 24, 2017
UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound an...
Machine Learning Databases, Factual Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Quality Control Humans Datasets as Topic United Kingdom Neuroimaging
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Supervised machine learning techniques to predict binding affinity. A study for cyclin-dependent kinase 2.

Biochemical and biophysical research communications Oct 7, 2017
Here we report the development of a machine-learning model to predict binding affinity based on the crystallographic structures of protein-ligand complexes. We used an ensemble of crystallographic structures (resolution better than 1.5 Å resolution) ...
Cyclin-Dependent Kinase 2 Datasets as Topic Protein Kinase Inhibitors Thermodynamics Antineoplastic Agents ROC Curve Databases, Protein Supervised Machine Learning Ligands Inhibitory Concentration 50 Humans Molecular Docking Simulation Drug Design
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Combination of minimum enclosing balls classifier with SVM in coal-rock recognition.

PloS one Sep 22, 2017
Top-coal caving technology is a productive and efficient method in modern mechanized coal mining, the study of coal-rock recognition is key to realizing automation in comprehensive mechanized coal mining. In this paper we propose a new discriminant a...
Statistics, Nonparametric Vibration Area Under Curve Nonlinear Dynamics Coal Discriminant Analysis Datasets as Topic Support Vector Machine Acoustics Pattern Recognition, Automated
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