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» The Convergence of Iterated Classification
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NN
2000
Springer
192views Neural Networks» more  NN 2000»
14 years 11 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
RSA
2002
99views more  RSA 2002»
14 years 11 months ago
Distributed algorithms with dynamical random transitions
Given any measure-preserving dynamical system (Y, A , , T) and g Lp() , we study convergence of the sequence 1 n n k=1 g TSk , n 1 where Sk is a dynamic Zr -valued random w...
Nadine Guillotin-Plantard, René Schott
ECAI
2010
Springer
14 years 9 months ago
A Hybrid Continuous Max-Sum Algorithm for Decentralised Coordination
Abstract. In this paper we tackle the problem of coordinating multiple decentralised agents with continuous state variables. Specifically we propose a hybrid approach, which combin...
Thomas Voice, Ruben Stranders, Alex Rogers, Nichol...
ICASSP
2009
IEEE
14 years 9 months ago
Tree configuration games for distributed stream mining systems
We consider the problem of configuring classifier trees in distributed stream mining system. The configuration involves selecting appropriate false-alarm detection tradeoffs for e...
Hyunggon Park, Deepak S. Turaga, Olivier Verscheur...
EOR
2010
99views more  EOR 2010»
14 years 6 months ago
Expected gain-loss pricing and hedging of contingent claims in incomplete markets by linear programming
We analyze the problem of pricing and hedging contingent claims in the multi-period, discrete time, discrete state case using the concept of a sufficiently attractive expected gai...
Mustafa Ç. Pinar, Aslihan Salih, Ahmet Camc...