A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
We present a novel paradigm for statistical machine translation (SMT), based on a joint modeling of word alignment and the topical aspects underlying bilingual document-pairs, via...
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
We have developed models of how strategies are constructed and retained as male and female high school and university students gain experience in solving online qualitative chemic...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
A critical path in the development of natural language understanding NLU modules lies in the di culty of de ning a mapping from words to semantics: Usually it takes in the order o...