Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Banding can be a major defect in inkjet printing. Knowing the visual sensitivity threshold of inkjet banding is therefore useful for understanding and pushing the technological li...
Boolean satisfiability (SAT) is the canonical NP-complete problem that plays an important role in AI and has many practical applications in Computer Science in general. Boolean n...
This paper introduces a new approach to provide users with solutions to explore a domain via an information space. A key point in our approach is that information searching and ex...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...