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cond-mat.dis-nn2000
Computational Capacity of an Odorant Discriminator: the Linear Separability of Curves
N. Caticha, J. E. Palo Tejada, D. Lancet +1
We introduce and study an artificial neural network, inspired by the probabilistic Receptor Affinity Distribution model of olfaction. Our system consists on N sensory neurons whose…
physics.comp-ph2000
Resampling Method For Unsupervised Estimation Of Cluster Validity
Erel Levine, Eytan Domany
We introduce a method for validation of results obtained by clustering analysis of data. The method is based on resampling the available data. A figure of merit that measures the s…