A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
Abstract -- This paper describes a new memory estimation technique for DSP applications written in an applicative language. Since no concept of storage is present in an applicative...
Ingrid Verbauwhede, Chris J. Scheers, Jan M. Rabae...
Abstract. We introduce the concept of guarded saturated sets, saturated sets of strongly normalizing terms closed under folding of corecursive functions. Using this tool, we can mo...
The goal of Web search personalization is to tailor search results to a particular user based on that user's interests and preferences. We present an approach to personalized...
This paper shows that flexibility of workflow executions, i.e., the ability to deviate from a given model on the fly and during execution, is crucial for a wide applicability of w...