Optimal Percentage of Inhibitory Synapses in Multi-Task Learning

Scientific Reports - United Kingdom
doi 10.1038/srep09895
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Convex Multi-Task Feature Learning

Machine Learning
Artificial IntelligenceSoftware
2008English

A Survey of Multi-Task Learning Methods in Chemoinformatics

Molecular Informatics
Organic ChemistryDrug DiscoveryComputer Science ApplicationsMolecular MedicineStructural Biology
2018English

Algorithm-Dependent Generalization Bounds for Multi-Task Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern RecognitionApplied MathematicsComputer VisionMathematicsComputational TheoryArtificial IntelligenceSoftware
2017English

Multi-Population Genomic Prediction Using a Multi-Task Bayesian Learning Model

BMC Genetics
Genetics
2014English

Inferring Multi-Target QSAR Models With Taxonomy-Based Multi-Task Learning

Journal of Cheminformatics
Computer GraphicsInformation SciencesLibraryTheoretical ChemistryComputer Science ApplicationsComputer-Aided DesignPhysical
2013English

Scheduled Multi-Task Learning: From Syntax to Translation

Transactions of the Association for Computational Linguistics
2018English

Repetitive Magnetic Stimulation Induces Plasticity of Inhibitory Synapses

Nature Communications
AstronomyGeneticsMolecular BiologyBiochemistryChemistryPhysics
2016English

Multi-Task Learning in Deep Neural Networks at EVALITA 2018

2018English

Faster Jobs in Distributed Data Processing Using Multi-Task Learning

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy