Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
In this paper, we are interested in the analysis of regularized online algorithms associated with reproducing kernel Hilbert spaces. General conditions on the loss function and st...
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
This paper introduces a scalable maxmin flow control protocol which guarantees the minimum rate for each connection-oriented flow without requiring per-flow information. The proto...
Yuseok Kim, Wei Kang Tsai, Mahadevan Iyer, Jordi R...
Rate based congestion management for computer communication networks has been the focus of considerable research recently. Dierent variants to the end-to-end rate based algorithm ...