Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
According to embodied theories of language, people understand a verb like throw, at least in part, by mentally simulating throwing. This implicit simulation is often assumed to be...
Roel M. Willems, Ivan Toni, Peter Hagoort, Daniel ...
This work presents an approach to the obstacle avoidance problem, applicable in the frame of driver assistance. A decision, expressed as a proposed acceleration vector for the veh...
Franck Gechter, Jean-Michel Contet, Pablo Gruer, A...
The field of bioinformatics is witnessing a rapid and overwhelming accumulation of molecular sequence data, predominantly driven by novel wet-lab sequencing techniques. This trend...
Andre J. Aberer, Nicholas D. Pattengale, Alexandro...
There has been something of an academic debate between proponents of two different kinds of computer self-efficacy: general computer self-efficacy ala Compeau and Higgins on the o...