We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective func...
Indian organisations have transformed organisational learning to face multiple challenges posed by external market conditions, legal and regulatory considerations and internal fact...
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
: The concept of Learning Objects has been introduced in the e-learning field to enhance the accessibility, reusability, and interoperability of learning content. Despite intensive...
Samuel Schluep, Pamela Ravasio, Sissel Guttormsen ...
This paper brings together work in modeling episodic memory and reinforcement learning. We demonstrate that is possible to learn to use episodic memory retrievals while simultaneo...