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NIPS
2007
15 years 8 months ago
Bayes-Adaptive POMDPs
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
ANLP
1994
108views more  ANLP 1994»
15 years 7 months ago
Does Baum-Welch Re-estimation Help Taggers?
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which...
David Elworthy
IEEESCC
2010
IEEE
15 years 10 months ago
Using Complex Event Processing for Dynamic Business Process Adaptation
—As the amount of data generated by today’s pervasive environments increases exponentially, there is a stronger need to decipher the important information that is hidden among ...
Gabriel Hermosillo, Lionel Seinturier, Laurence Du...
JCIT
2007
158views more  JCIT 2007»
15 years 6 months ago
A Guidance Process for the Selection of Business Process Modelling Techniques for the Revised Business Process Reengineering
Business Process Reengineering is a reverse design process that allows for radical improvement in quality, service, cycle times, productivity and cost for a specific market or cus...
Leila Jamel Menzli, Sonia Ayachi Ghannouchi, Henda...
JMLR
2012
13 years 9 months ago
Max-Margin Min-Entropy Models
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Dan...