- The subcube allocation problem in faulty hypercubes is studied in this paper. An efficient method for forming the set of regular subcubes is proposed. A concept of irregular subc...
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Abstract Making sense of circumstances and situations is critical to coordinate cooperative work. Especially in process control domains, we may expect that effective and reliable o...
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....