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Motivation: Understanding gene regulation in biological processes and modeling the robustness of underlying regulatory networks is an important problem that is currently being addressed by computational systems biologists. Lately, there has been a renewed ...
Data classification, in the present context, concerns the use of computers in order to create systems that learn how to automatically decide to which of a predefined set of classes a given object belongs. Boolean concepts have long been present in data cla ...
In this thesis, we study methods to detect, localize and overcome performance problems experienced by end-users in communication networks. These problems are extremely difficult to solve when the only available information are end-to-end data. We first con ...
We propose a method for generating all possible rules of multidimension Boolean cellular automata (CA). Based on an original encoding method and the programming of graphical processor units (GPU), this method allows us to visualize the CA information flow ...
Like other problems in network tomography or traffic matrix estimation, the location of congested IP links from end-to-end measurements requires solving a system of equations that relate the measurement outcomes with the variables representing the status o ...
This thesis discusses certain issues related to the treatment of classification problems using techniques that rely on Boolean concepts. The interest of using Boolean-based models in classification is demonstrated with the help of LAD (Logical Analysis of ...
Monitoring systems that can detect path outages and periods of degraded performance are important for many distributed applications. Trivial pairwise probing systems do not scale well and cannot be employed in large networks. To build scalable path monitor ...
This thesis discusses certain issues related to the treatment of classification problems using techniques that rely on Boolean concepts. The interest of using Boolean-based models in classification is demonstrated with the help of LAD (Logical Analysis of ...
We present a versatile and complete free-form shape modeling framework for point-sampled geometry. By combining unstructured point clouds with the implicit surface definition of the moving least squares approximation, we obtain a hybrid geometry representa ...
