The fragmentation of knowledge management (KM) as a field and as an area of research poses serious theoretical challenges for researchers. The viability of KM rests on how the com...
Abstract. In distributed computer networks where resources are under decentralized control, selfish users will generally not work towards one common goal, such as maximizing the o...
We consider online learning in repeated decision problems, within the framework of a repeated game against an arbitrary opponent. For repeated matrix games, well known results esta...
The definition of a commodity component is quite obvious when it comes to the PC as a basic compute engine and building block for clusters of PCs. Looking at the options for a mo...
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...