The development of software for wireless sensor networks is involved and complex. This does not only impose much work on programmers but also prevents domain experts from directly ...
- People are increasingly relying on visualizations on the Internet mass media as their primary source of election results. It is thus crucial for the media to provide accurate, in...
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...