CT In this paper some experimental sequential models for the simulation of trip-chains are presented; the models have been calibrated on the base of a survey made in a medium-sized...
Demetrio C. Festa, Daniela Condino, Gabriella Mazz...
A novel universal and fault-tolerant basis (set of gates) for quantum computation is described. Such a set is necessary to perform quantum computation in a realistic noisy environ...
P. Oscar Boykin, Tal Mor, Matthew Pulver, Vwani P....
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...