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Sequential consolidation of learned task knowledge
Selective knowledge transfer from K-nearest neighbour tasks
User modelling for an adaptive system
User profile management
Knowledge transfer using context-sensitive multiple task learning
Inductive transfer applied to the prediction of ground water levels
Context-sensitive multiple task learning with consolidated domain knowledge
An analysis of context-sensitive neural networks
Classification via reconstruction using a multi-channel deep learning architecture
Knowledge consolidation using multiple task learning
Classifying motion using radio waves and machine learning
Multi-modal learning using an unsupervised Deep Learning Architecture
Transfer learning of image classification with deep learning architectures
Estimage
Generation of synthetic speech from a neural network output
Generating accurate virtual examples for lifelong machine learning
Image to grape yield estimation in the vineyard using deep learning
Learning with symbols
Facial expression classification and morphing with machine learning
A comparison of CNN and DBN image classification models under adversarial conditions