3 papers
stat.ML2007
Online Learning in Discrete Hidden Markov Models
Roberto C. Alamino, Nestor Caticha
We present and analyse three online algorithms for learning in discrete Hidden Markov Models (HMMs) and compare them with the Baldi-Chauvin Algorithm. Using the Kullback-Leibler di…
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…
cond-mat.dis-nn1998
Statistical Mechanics of Online Learning of Drifting Concepts : A Variational Approach
Renato Vicente, Osame Kinouchi, Nestor Caticha
We review the application of Statistical Mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo…