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173
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SIGMETRICS
2003
ACM
15 years 12 months ago
2003
ACM
It has been observed that the degrees of the topologies of several communication networks follow heavy tailed statistics. What is the impact of such heavy tailed statistics on the...
230
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DAGSTUHL
2009
15 years 7 months ago
2009
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
203
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CCR
2002
15 years 6 months ago
2002
It has long been thought that the Internet, and its constituent networks, are hierarchical in nature. Consequently, the network topology generators most widely used by the Interne...
326
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ALT
2011
Springer
14 years 6 months ago
2011
Springer
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
169
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KI
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...