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Multimedia File Allocation on VC Networks
 M. Zonoozi, P. Dassanayake. IEEE JSAC
, 1997
"... The problem of allocating highvolume multimedia files on a virtual circuit network with the objective of maximizing channel throughput (and minimizing data transmission time) is addressed. The problem is formulated as a multicommodity flow problem. We present both the optimal and suboptimal solu ..."
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The problem of allocating highvolume multimedia files on a virtual circuit network with the objective of maximizing channel throughput (and minimizing data transmission time) is addressed. The problem is formulated as a multicommodity flow problem. We present both the optimal and suboptimal
Path Selection on VCNetworks within a Distributed Media Server for Concurrent Stream Retrieval
"... This article addresses path selection problems that arise in a largescale media server. In particular, the problem on a distributed server with two tiers of server nodes connected by a VCenabled interconnection network is considered. To serve each incoming request, a pair of server nodes should be ..."
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This article addresses path selection problems that arise in a largescale media server. In particular, the problem on a distributed server with two tiers of server nodes connected by a VCenabled interconnection network is considered. To serve each incoming request, a pair of server nodes should
Syndication networks and the spatial distribution of venture capital investments
 American Journal of Sociology
, 2001
"... Sociological investigations of economic exchange reveal how institutions and social structures shape transaction patterns among economic actors. This article explores how interfirm networks in the U.S. venture capital (VC) market affect spatial patterns of exchange. Evidence suggests that informatio ..."
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Cited by 229 (10 self)
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Sociological investigations of economic exchange reveal how institutions and social structures shape transaction patterns among economic actors. This article explores how interfirm networks in the U.S. venture capital (VC) market affect spatial patterns of exchange. Evidence suggests
VC Dimension of Neural Networks
 Neural Networks and Machine Learning
, 1998
"... . This paper presents a brief introduction to VapnikChervonenkis (VC) dimension, a quantity which characterizes the difficulty of distributionindependent learning. The paper establishes various elementary results, and discusses how to estimate the VC dimension in several examples of interest in ne ..."
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Cited by 24 (3 self)
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in neural network theory. 1 Introduction In this expository paper, we present a brief introduction to the subject of computing and estimating the VC dimension of neural network architectures. We provide precise definitions and prove several basic results, discussing also how one estimates VC dimension
Whom you know matters: Venture capital networks and investment performance
 Journal of Finance
, 2007
"... Many financial markets are characterized by strong relationships and networks, rather than arm’slength, spotmarket transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company investments. VC fi ..."
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Cited by 134 (8 self)
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Many financial markets are characterized by strong relationships and networks, rather than arm’slength, spotmarket transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company investments. VC
Neural Networks with Quadratic VC Dimension
, 1996
"... This paper shows that neural networks which use continuous activation functions have VC dimension at least as large as the square of the number of weights w. This result settles a longstanding open question, namely whether the wellknown O(w log w) bound, known for hardthreshold nets, also held fo ..."
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Cited by 47 (6 self)
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This paper shows that neural networks which use continuous activation functions have VC dimension at least as large as the square of the number of weights w. This result settles a longstanding open question, namely whether the wellknown O(w log w) bound, known for hardthreshold nets, also held
3[Ip(Vc) In(Vc)], Ip(Vc)> In(Vc)
"... from (Sa) and (8b). For any input common mode voltage (Vc), the bias currents for the n and ptype differential pairs are given by I b n (Vi) = I n (Vc) ..."
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from (Sa) and (8b). For any input common mode voltage (Vc), the bias currents for the n and ptype differential pairs are given by I b n (Vi) = I n (Vc)
Polynomial Bounds for VC Dimension of Sigmoidal Neural Networks
 IN PROC. 27TH ACM SYMPOSIUM ON THEORY OF COMPUTING
, 1995
"... We introduce a new method for proving explicit upper bounds on the VC Dimension of general functional basis networks, and prove as an application, for the first time, the VC Dimension of analog neural networks with the sigmoid activation function oe(y) = 1=1 + e \Gammay to be bounded by a quadra ..."
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Cited by 37 (0 self)
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We introduce a new method for proving explicit upper bounds on the VC Dimension of general functional basis networks, and prove as an application, for the first time, the VC Dimension of analog neural networks with the sigmoid activation function oe(y) = 1=1 + e \Gammay to be bounded by a
The VC Dimension of Weightless Discriminator Networks
, 1996
"... this paper the VapnikChervonenkis dimension (VC dimension) of a class of both of weightless discriminators and of general neural units (GNU) is calculated. These are RAMbased neural systems and are fully described in [1]. The VC dimension is a measure of the flexibility of a learning system and oc ..."
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this paper the VapnikChervonenkis dimension (VC dimension) of a class of both of weightless discriminators and of general neural units (GNU) is calculated. These are RAMbased neural systems and are fully described in [1]. The VC dimension is a measure of the flexibility of a learning system
Results 1  10
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68,516