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INFOCOM
2009
IEEE
14 years 3 months ago
Analysis of Adaptive Incentive Protocols for P2P Networks
— Incentive protocols play a crucial role to encourage cooperation among nodes in networking applications. The aim of this paper is to provide a general analytical framework to a...
Ben Q. Zhao, John C. S. Lui, Dah-Ming Chiu
ISMB
1994
13 years 9 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
LICS
1998
IEEE
14 years 2 days ago
Compositional Analysis of Expected Delays in Networks of Probabilistic I/O Automata
Probabilistic I/O automata (PIOA) constitute a model for distributed or concurrent systems that incorporates a notion of probabilistic choice. The PIOA model provides a notion of ...
Eugene W. Stark, Scott A. Smolka
BC
2008
89views more  BC 2008»
13 years 8 months ago
Complex evolution of spike patterns during burst propagation through feed-forward networks
Abstract Stable signal transmission is crucial for information processing by the brain. Synfire-chains, defined as feedforward networks of spiking neurons, are a well-studied class...
Jun-nosuke Teramae, Tomoki Fukai
CONIELECOMP
2006
IEEE
14 years 2 months ago
Chaotic Time Series Approximation Using Iterative Wavelet-Networks
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
E. S. Garcia-Trevino, Vicente Alarcón Aquin...