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» On a Network Generalization of the Minmax Theorem
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IJCNN
2000
IEEE
14 years 8 hour ago
Continuous Optimization of Hyper-Parameters
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Yoshua Bengio
STOC
2003
ACM
133views Algorithms» more  STOC 2003»
14 years 8 months ago
A fast algorithm for computing steiner edge connectivity
Given an undirected graph or an Eulerian directed graph G and a subset S of its vertices, we show how to determine the edge connectivity C of the vertices in S in time O(C3 n log ...
Richard Cole, Ramesh Hariharan
IICAI
2007
13 years 9 months ago
Topologically Continuous Associative Memory: A Theoretical Foundation
We introduce a neural network with associative memory and a continuous topology, i.e. its processing units are elements of a continuous metric space and the state space is Euclide...
Enrique Carlos Segura
TON
2010
132views more  TON 2010»
13 years 6 months ago
The optimality of two prices: maximizing revenue in a stochastic communication system
—This paper considers the problem of pricing and transmission scheduling for an Access Point (AP) in a wireless network, where the AP provides service to a set of mobile users. T...
Longbo Huang, Michael J. Neely
ICALP
1993
Springer
13 years 11 months ago
Exact Asymptotics of Divide-and-Conquer Recurrences
The divide-and-conquer principle is a majoi paradigm of algorithms design. Corresponding cost functions satisfy recurrences that directly reflect the decomposition mechanism used i...
Philippe Flajolet, Mordecai J. Golin