In the last decade, e-learning has been introduced to a variety of blended learning scenarios, such as life-long learning, University lectures, and game-based learning. In all the...
We describe a compression technique for semistructured documents, called SCMPPM, which combines the Prediction by Partial Matching technique with Structural Contexts Model (SCM) t...
Interpreting general purpose programming constructs can be difficult because it requires context, such as knowledge of language syntax or idioms, which users may not have readily ...
Efficient collaboration and task management is challenging in distributed, dynamically-formed organizations such as ad hoc disaster response teams. Ineffective collaboration may r...
We define the crouching Dirichlet, hidden Markov model (CDHMM), an HMM for partof-speech tagging which draws state prior distributions for each local document context. This simple...