We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
In many real-world domains, supervised learning requires a large number of training examples. In this paper, we describe an active learning method that uses a committee of learner...
US military forces now face asymmetric military operations. Management of relationships with civilians is often crucial to success. Local population groups can provide critical in...
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngram...
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...