Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
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...
—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...
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...
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...