Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
We describe two experimental desktop library clients that offer improved access to geospatial data via the Alexandria Digital Library (ADL): ArcADL, an extension to ESRI's Ar...
Dan Ancona, James Frew, Greg Janee, David Valentin...
Active Harmony is an automated runtime performance tuning system. In this paper we describe a parameter prioritizing tool to help focus on those parameters that are performance cr...
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
Metabolic flux estimation—the problem of finding out the rates of reactions in metabolic pathways—is an important problem area in the study of metabolism. The most accurate t...
Juho Rousu, Ari Rantanen, Hannu Maaheimo, Esa Pitk...