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NIPS
2007
14 years 11 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»
14 years 11 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 2 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»
14 years 10 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 15 days 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...