In Online Social Networks (OSNs) users are overwhelmed with huge amount of social data, most of which are irrelevant to their interest. Due to the fact that most current OSNs are centralized, people are forced to share their data with the site, in order to be able to share it with their friends, and thus they lose control over it. Decentralized OSNs provide an alternative which allows users to ...

Application-based anomaly detectors construct a baseline model of normal application behavior, and deviations from that behavior are interpreted as signs of a possible intrusion. But current anomaly detectors monitor application behavior at a high level of detail, and many irrelevant variations in that behavior can cause false alarms. This paper discusses the preprocessing of audit data ultimat...

A drawback of the sparse principal component analysis (PCA) procedures using penalty functions is that the number of zeros in the matrix of component loadings as a whole cannot be specified in advance. We thus propose a new sparse PCA procedure in which the least squares PCA loss function is minimized subject to a pre-specified number of zeros in the loading matrix. The procedure is called unpe...

Merge-and-shrink (M&S) is a framework to generate abstraction heuristics for cost-optimal planning. A recent approach computes simulation relations on a set of M&S abstractions in order to identify states that are better than others. This relation is then used for pruning states in the search when a “better” state is already known. We propose the usage of simulation relations inside the M&S fra...

A (1,-1)-matrix will be called a bent type matrix if each row and each column are bent sequences. A similar description can be found in Carlisle M. in which the authors use the properties of bent type matrices to construct a class of bent functions. In this paper we give a general method to construct bent type matrices and show that the bent sequence obtained from a bent type matrix is a genera...

In the current Modelica specification, the only admitted external entities are memory-less functions. We propose an extension to allow parts of the model containing internal states, conditioning and discrete dynamics, to be definable as external functions. This opens the door to separate compilation of Modelica code. For this purpose, we introduce the language construct switchwhen and the type ...

Raters play a central role in rater-mediated assessment, and rater variability manifested in various forms including rater errors contributes to construct-irrelevant variance which can adversely affect an examinee’s test score. Halo effect as a subcomponent of rater errors is one of the most pervasive errors which, if not detected, can result in obscuring an examinee’s score and threatening val...

Numerous observations of structured motor variability indicate that the sensorimotor system preferentially controls task-relevant parameters while allowing task-irrelevant ones to fluctuate. Optimality models show that controlling a redundant musculo-skeletal system in this manner meets task demands while minimizing control effort. Although this line of inquiry has been very productive, the dat...

B4 We present a new approach to credal networks, which are graphical models that generalise Bayesian nets to deal with imprecise probabilities. Instead of applying the commonly used notion of strong independence, we replace it by the weaker notion of epistemic irrelevance ( II ). We show how assessments of epistemic irrelevance allow us to construct a global model out of given local uncertainty...

Some observations are more variable in space and relatively less variable in time or vice versa. Based on the major source of variability, regionalized variable theory is used to construct either spatial or temporal semivariograms. Examples include georeferenced soil data, with primarily spatial variability, and daily weather data, with primarily temporal variability, as input to dynamic simula...