We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
Today’s web applications are pushing the limits of modern web browsers. The emergence of the browser as the platform of choice for rich client-side applications has shifted the ...
Mason Chang, Edwin W. Smith, Rick Reitmaier, Micha...
Multi agent systems, Grid technology, Semantic Web, and Web Intelligence paradigm are three modern approaches in information technologies, which we put together in our research eff...
Monitoring of software’s execution is crucial in numerous software development tasks. Current monitoring efforts generally require extensive instrumentation of the software or d...