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» Neural Network Classification and Prior Class Probabilities
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NIPS
2004
14 years 11 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve
EOR
2007
108views more  EOR 2007»
14 years 9 months ago
Measuring retail company performance using credit scoring techniques
This paper proposes a theoretical framework for predicting financial distress based on Hunt’s (2000) Resource-Advantage Theory of Competition. The study focuses on the US retail...
Yu-Chiang Hu, Jake Ansell
IJDSN
2008
81views more  IJDSN 2008»
14 years 9 months ago
A Flexible Stochastic Automaton-Based Algorithm for Network Self-Partitioning
This article proposes a flexible and distributed stochastic automaton-based network partitioning algorithm that is capable of finding the optimal k-way partition with respect to a...
Yan Wan, Sandip Roy, Ali Saberi, Bernard C. Lesieu...
IWQOS
2004
Springer
15 years 2 months ago
Towards content distribution networks with latency guarantees
This paper investigates the performance of a content distribution network designed to provide bounded content access latency. Content can be divided into multiple classes with dif...
Chengdu Huang, Tarek F. Abdelzaher
ICANN
2003
Springer
15 years 2 months ago
Learning Rule Representations from Boolean Data
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
Bruno Apolloni, Andrea Brega, Dario Malchiodi, Gio...