Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
We present the user evaluation of two recommendation server methodologies implemented for the NASA Technical Report Server (NTRS). One methodology for generating recommendations u...
Michael L. Nelson, Johan Bollen, JoAnne R. Calhoun...
Decentralized MDPs provide a powerful formal framework for planning in multi-agent systems, but the complexity of the model limits its usefulness. We study in this paper a class o...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
This paper presents O’KLAIM (Object-Oriented KLAIM), a linguistic extension of the higher-order calculus for mobile processes KLAIM with objectoriented features. Processes intera...
Models and conceptualizations are necessary to understand and design ubiquitous systems that are context–aware not just from a technological point of view. The current technologi...