The use of the Plan Recognition/Plan Generation paradigm in the context of corporate training is discussed. The learning environment is grounded on three-level conceptual schemas ...
We begin by discussing causal independence models and generalize these models to causal interaction models. Causal interaction models are models that have independent mechanisms w...
Due to its importance as a model for several software and hardware applications, automata theory is a core topic in computer science and engineering education. But because of its m...
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...