Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Developing applications for smart spaces is a challenging task. Most programming systems narrowly focus on the embedded computer infrastructure and neglect the spatial aspect of th...
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
In cooperative multiagent systems an alternative that maximizes the social welfare--the sum of utilities--can only be selected if each agent reports its full utility function. Thi...
Systems that can immediately react to their inputs may suffer from cyclic dependencies between their actions and the corresponding trigger conditions. For this reason, causality an...