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» Approximate Models for General Cache Networks
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JMLR
2012
11 years 11 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
INFOCOM
2000
IEEE
14 years 26 days ago
QoS Routing with Performance-Dependent Costs
Abstract—We study a network model in which each network link is associated with a set of delays and costs. These costs are a function of the delays and reflect the prices paid i...
Funda Ergün, Rakesh K. Sinha, Lisa Zhang
MOBIHOC
2007
ACM
14 years 8 months ago
Bounds for the capacity of wireless multihop networks imposed by topology and demand
Existing work on the capacity of wireless networks predominantly considers homogeneous random networks with random work load. The most relevant bounds on the network capacity, e.g...
Alireza Keshavarz-Haddad, Rudolf H. Riedi
HYBRID
2005
Springer
14 years 2 months ago
Polynomial Stochastic Hybrid Systems
This paper deals with polynomial stochastic hybrid systems (pSHSs), which generally correspond to stochastic hybrid systems with polynomial continuous vector fields, reset maps, a...
João P. Hespanha
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 1 months ago
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
David Poole