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Modeling languages are used to make models that are commonly used in communicating about real-life situations such as the modeling of business and IT requirements in organizations. A way to evaluate how effective the modeling languages are for communicatin ...
Modeling Enterprise Architecture (EA) requires the representation of multiple views for an enterprise. This could be done by a team of stakeholders that essentially have different backgrounds. One way to do this is to structure the model into hierarchical ...
A Language Model (LM) is a helpful component of a variety of Natural Language Processing (NLP) systems today. For speech recognition, machine translation, information retrieval, word sense disambiguation etc., the contribution of an LM is to provide featur ...
Ten years ago, PLSI opened the road to probabilistic latent semantic representations of documents. It led to a number of applications in different fields, including ad hoc Information Retrieval. However, inherent limitations hinder its use on documents not ...
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Systematic State Exploration or Model Checking techniques have been used for years to check the model of softwares against user-specified properties. Nevertheless, they never achieved a wide-spread usage because of the difficulties and problems in translat ...
In this paper, we derive a probabilistic registration algorithm for object modeling and tracking. In many robotics applications, such as manipulation tasks, nonvisual information about the movement of the object is available, which we will combine with the ...
This article describes the design and implementation of named and default arguments in the Scala programming language. While these features are available in many other languages there are significant differences in the actual implementations. We present a ...
Structural identification is the activity of determining how a structure is behaving using results from measurements. This paper presents a process model for carrying out structural identification over the life of the structure using results from structura ...
The PLSI model (“Probabilistic Latent Semantic Indexing”) offers a document indexing scheme based on probabilistic latent category models. It entailed applications in diverse fields, notably in information retrieval (IR). Nevertheless, PLSI cannot process d ...
The central idea behind this attempt is to merge common objects and robotics to obtain a new type of interactive artefact, we call robjects. Robjects provide services to everyday life and can be controlled by the user in a very intuitive way. Robjects take ...
