Yi Sun's Journal Club session where she will talk about "Transforming Data into Knowledge: How to Build Knowledge Graphs".
Author: Yi Sun
On Projection Methods for Functional Time Series Forecasting
Yi Sun's Journal Club session where she will talk about a paper "On Projection Methods for Functional Time Series Forecasting"
Clustering Functional Data into Groups by Using Projections
Yi Sun's Journal Club session where she will talk about a paper "Clustering Functional Data into Groups by Using Projections"
Asynchronism-based principal component analysis for time series data mining
Yi Sun's journal club session, where she will present the paper "Asynchronism-based principal component analysis for time series data mining (Hailin Li, 2014)".
Tagged as : PCASingular Spectrum Analysis - A very short introduction​
Yi Sun's journal club session on Singular Spectrum Analysis
Tagged as : StatisticsFeature Selection Modelling for Percutaneous Absorption across Synthetic Membranes
Yi will be discussing feature selection modelling for percutaneous absorption across Synthetic membranes
Tagged as : machine learningDynamic functional principal components
Yi Sun's journal club session on dynamic functional principal components.
Development of computational models for characterizing small ice particles based on their two-dimensional light scattering patterns
Yi Sun's journal club session on the development of computational models for characterizing small ice particles based on their two-dimensional light scattering patterns.
Tagged as : Computational modelling
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computational neuroscience synaptic plasticity Studentship Network connectivity Associative memory Computer Science Persistent homology Structural plasticity Dendritic computation machine learning PCA Convolutional Neural Networks cerebellum Neuronal Morphology Software development Evolutionary algorithms olfaction neuroscience neural networks Neurons Homoeostasis computational modelling optimization Purkinje cell Open position Artificial intelligence Neuromorphic hardware robotics COVID-19 Deep learning
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