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View article: Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference -- A Work In Progress
Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference -- A Work In Progress Open
Efficient probabilistic inference by variable elimination in graphical models requires an optimal elimination order. However, finding an optimal order is a challenging combinatorial optimisation problem for models with a large number of ra…
View article: Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks
Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks Open
A good deep neural network design allows for efficient training and high accuracy. The training step requires a suitable choice of several hyper-parameters. Limited knowledge exists on how the hyper-parameters impact the training process, …