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05/08/2020
Continual Learning Using Task Conditional Neural Networks
Conventional deep learning models have limited capacity in learning mult...
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10/09/2019
Continual Learning Using Bayesian Neural Networks
Continual learning models allow to learn and adapt to new changes and ta...
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05/20/2019
Continual Learning in Deep Neural Network by Using a Kalman Optimiser
Learning and adapting to new distributions or learning new tasks sequent...
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05/20/2019
Continual Learning in Deep Neural Networks by Using Kalman Optimiser
Learning and adapting to new distributions or learning new tasks sequent...
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05/20/2019
Continual Learning in Deep Neural Networks by Using a Kalman Optimiser
Learning and adapting to new distributions or learning new tasks sequent...
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11/06/2018
Kalman Filter Modifier for Neural Networks in Non-stationary Environments
Learning in a non-stationary environment is an inevitable problem when a...
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10/26/2017
Segment Parameter Labelling in MCMC Mean-Shift Change Detection
This work addresses the problem of segmentation in time series data with...
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04/28/2017
Simultaneous diagonalisation of the covariance and complementary covariance matrices in quaternion widely linear signal processing
Recent developments in quaternion-valued widely linear processing have e...
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04/28/2017
