This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
To realize the potential of opportunistic and participatory sensing using mobile smartphones, a key challenge is ensuring the ease of developing and deploying such applications, w...
Tathagata Das, Prashanth Mohan, Venkata N. Padmana...
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
In this paper, we derive a statistical delay guarantee of the generalized Virtual Clock scheduling algorithm. We define the concept of an equivalent fluid and packet source and pr...
Numerous recent papers have found important relationships between network structure and risks within networks. These results indicate that network structure can dramatically affec...
Paul Hines, Seth Blumsack, E. Cotilla Sanchez, C. ...