Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Despite its origins in software modeling, there has been growing interest in using the Unified Modeling Language (UML) for conceptual modeling of application domains. However, the...
We describe experiments with a Naive Bayes text classifier in the context of anti-spam E-mail filtering, using two different statistical event models: a multi-variate Bernoulli ...
Classical logics and Datalog-related logics have both been proposed as underlying formalisms for the Semantic Web. Although these two different formalism groups have some commonal...
This study, through the ontological engineering approach, aims at building a conceptual basis that encourages instructional designers in better understanding of learning/instructio...