Statistical approaches to language learning typically focus on either short-range syntactic dependencies or long-range semantic dependencies between words. We present a generative...
Thomas L. Griffiths, Mark Steyvers, David M. Blei,...
Case studies are widely used in business and medicine to help students learn from the successes and failures of practitioners in the field. This paper discusses the potential bene...
Kay A. Robbins, Catherine Sauls Key, Keith Dickins...
Knowledge management (KM) is the research field aimed to create, organize, and store explicit knowledge for easy access and manipulation, whereas e-learning is concerned with del...
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...