Computational mechanics analysis of the hidden conformational dynamics within a molecular trajectory

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Online learning in discrete hidden Markov models

We present and analyze three different online algorithms for learning in discrete Hidden Markov Models (HMMs) and compare their performance with the Baldi-Chauvin Algorithm. Using the Kullback-Leibler divergence as a measure of the generalization error we draw learning curves in simplified situations and compare the results. The performance for learning drifting concepts of one of the presented algorithms is analyzed and compared with the Baldi-Chauvin algorithm in the same situations. A brief discussion about learning and symmetry breaking based on our results is also presented. © 2006 American Institute of Physics.

Gender, borrowing patterns and self-employment:some evidence for England

The purpose of this paper is twofold. First, we try to identify whether women have different borrowing patterns from men when trying to get into self-employment along with the factors that explain these different propensities. Second, we try to quantify the impact of these differences in borrowing propensity on women's willingness to become self-employed. The empirical analysis is carried out on a sample of individuals drawn from the English Household Survey of Entrepreneurship, 2003. Our results show that (1) women are less likely than men to seek external finance and that (2) gender differences in access to finance are affecting adversely the transition into self-employment. © 2010 Springer Science+Business Media, LLC.