1261 search results - page 50 / 253 » Improved learning of Bayesian networks |
EMNLP
2009
13 years 5 months ago
2009
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
FLAIRS
2008
13 years 10 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
Publication
We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous w...