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NIPS
2004
14 years 11 months ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams
ANLP
1997
86views more  ANLP 1997»
14 years 11 months ago
Nymble: a High-Performance Learning Name-finder
This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the s...
Daniel M. Bikel, Scott Miller, Richard M. Schwartz...
AAAI
2011
13 years 10 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
DAGSTUHL
2007
14 years 11 months ago
Model-Driven Development for End-Users, too!?
iary models in order to bridge the semantic gap between high-level, abstract user requirements and low-level, concrete programs and to support a stepwise refinement process. This d...
Gregor Engels
MSWIM
2003
ACM
15 years 3 months ago
Markov-based modeling of wireless local area networks
Errors introduced by a wireless medium are more frequent and profound than contemporary wired media. Some of these errors, which are not corrected by the physical layer, result in...
Syed A. Khayam, Hayder Radha