Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
Autonomic computing – self-configuring, self-healing, self-optimizing applications, systems and networks – is widely believed to be a promising solution to everincreasing syst...
Gail E. Kaiser, Janak J. Parekh, Philip Gross, Giu...
One of the central axioms of extreme programming is the disciplined use of regression testing during stepwise software development. Due to recent progress in software model checkin...
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
In October 2003, the first functional load-bearing and energetically autonomous exoskeleton, called the Berkeley Lower Extremity Exoskeleton (BLEEX) was demonstrated, walking at th...
This paper examines the difficulty of the schema conformance problem for the following XML schema languages: • DTD • RELAX NG with W3C XML Schema Datatypes • Schematron • ...