Reversible computing is a paradigm where computing models are so defined that they reflect physical reversibility, one of the fundamental microscopic physical property of Nature. ...
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
Empirical Modelling is a body of principles and tools that has been developed for the construction of interactive environments. Our previous research has indicated respects in whi...
The application of software engineering approaches to generate learning material adapted to a specific instructional purpose presents some issues: of different models, different a...
We examine how a network of many knowledge layers can be constructed in an on-line manner, such that the learned units represent building blocks of knowledge that serve to compres...