Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
Model-Driven Development requires model management languages and tools for supporting model operations such as editing, consistency checking, and transformation. At the core of the...
Dimitrios S. Kolovos, Richard F. Paige, Fiona Pola...
Component systems have become a wide-spread technology and found their place in several application domains. Each component system has its speciļ¬cs and particularities that reļ¬...
One fascinating aspect of tool building for datamining is the application of a generalized datamining tool to a specific domain. Often times, this process results in a cross disci...
Andy Novobilski, Francis M. Fesmire, David Sonnema...