Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
In: Proceedings of the Eleventh International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA-04), Springer-Verlag LNAI Series. c 2004 We present ...
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
In the present text, we deal with the problem of classification of speech emotion. Problems of speech processing are addressed through the use of artificial neural networks (ANN). ...
With the rapid growth of the Internet into a global communication and commercial infrastructure, the need for Quality of Services (QoS) in the Internet becomes more and more import...
Haci A. Mantar, Ibrahim T. Okumus, Junseok Hwang, ...