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ACL
2011
14 years 2 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...
SIGSOFT
2005
ACM
15 years 12 months ago
Information hiding interfaces for aspect-oriented design
The growing popularity of aspect-oriented languages, such as AspectJ, and of corresponding design approaches, makes it important to learn how best to modularize programs in which ...
Kevin J. Sullivan, William G. Griswold, Yuanyuan S...
NIPS
1998
15 years 13 days ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
BMCBI
2008
179views more  BMCBI 2008»
14 years 11 months ago
Bayesian modeling of recombination events in bacterial populations
Background: We consider the discovery of recombinant segments jointly with their origins within multilocus DNA sequences from bacteria representing heterogeneous populations of fa...
Pekka Marttinen, Adam Baldwin, William P. Hanage, ...
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 2 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski