We study a family of graph clustering problems where each cluster has to satisfy a certain local requirement. Formally, let µ be a function on the subsets of vertices of a graph G...
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
—FRASA, Feedback Retransmission Approximation for Slotted ALOHA, is proposed to study the stability region of finiteuser slotted ALOHA under collision channel. With FRASA, the s...
In this paper, we study an E0-like combiner with memory as the keystream generator. First, we formulate a systematic and simple method to compute correlations of the FSM output seq...
An asynchronous algorithm is described for rapidly constructing an overlay network in a peer-to-peer system where all nodes can in principle communicate with each other directly t...
Dana Angluin, James Aspnes, Jiang Chen, Yinghua Wu...