Tree induction and logistic regression are two standard o the shelf methods for building models for classi cation We present a large scale experimental comparison of logistic regression and tree induction assessing classi cation ac curacy and the quality of rankings based on class membership probabilities We use a learning curve analysis to examine the relationship of these measures to the size...

HMM state mapping with the Kullback-Leibler divergence as a distribution similarity measure is a simple and effective technique that enables cross-lingual speaker adaptation for speech synthesis. However, since this technique does not take any other potentially useful information into account for mapping construction, an approach involving phonological knowledge in a data-driven manner is propo...