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We present in this paper some of the properties of hierarchical Gaussian networks HGβ , an interesting hierarchical-type structure built up with dense Midimews. We also provide the optimal routing algorithm for these structures. Such networks may be considered in the design of efective and optimized interconnection networks.

Stochastic activity networks (SANs) are a powerful and flexible extension of Petri nets. These models can be used for the modeling and analysis of various kinds and different aspects of distributed real-time systems. Similar to other classical extensions of Petri nets, SANs have some limitations for modeling complex and largescale systems. In order to remove these limitations and provide some h...

We present here a variant of acyclic CP-networks. It allows not only finite but also infinite domain attributes. It also has the property that a preference over each attribute in the network has higher priority then all the descendants’ preferences. We provide an algorithm of constructing a preference formula representing the order induced by a hierarchical CPnetwork, thus making it possible to...

Deep neural network algorithms are difficult to analyze because they lack structure allowing to understand the properties of underlying transforms and invariants. Multiscale hierarchical convolutional networks are structured deep convolutional networks where layers are indexed by progressively higher dimensional attributes, which are learned from training data. Each new layer is computed with m...

A hierarchical cubic network (HCN) is a topology based on hypercubes which has been introduced as interconnection network for massively parallel systems. Benefiting from interesting properties, it supersedes classic hypercubes networks on several aspects. For example, while retaining a similar diameter, the number of links per node is significantly lower than that of a hypercube of the same siz...

As the computer, communication, and entertainment industries begin to integrate phone, cable, and video services and to invest in new technologies such as fiber optic cables, interruptions in service can cause considerable customer dissatisfaction and even be catastrophic. In this environment, network providers want to offer high levels of servicein both serviceability (e.g., high bandwidth) an...

This paper studies the hierarchical broadcast networks, which are deened as broadcast networks whose every connected induced subgraph is also a broadcast network. We show that the minimum number of edges of a hierarchical broadcast network of order n is d n(n?2) 2 e for any n 4.

In planning based on hierarchical task networks (HTN), plans are generated by refining high-level actions (‘compound tasks’) into lowerlevel actions, until primitive actions are obtained that can be sent to execution. While a primitive action is defined by its precondition and effects, a high-level action is defined by zero, one or several methods: sets of (high-level or primitive) actions deco...

As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In the previous studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by combining two or more techniques have been proved to provide better performances than many single techniques over a nu...