Reasoning about the physical world is a central human cognitive activity. One aspect of such reasoning is the inference of function from the structure of the artifacts one encount...
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
Memory accesses account for a large percentage of total power in microprocessor-based embedded systems. The increasing use of microprocessor cores and synthesis, rather than prefa...
Scientific visualization has emerged as an important tool for extracting meaning from the large volumes of data produced by scientific instruments and simulations. Increasingly, t...
Ian T. Foster, Joseph A. Insley, Gregor von Laszew...
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...