Titlebook: Advances in Artificial Intelligence; 12th Brazilian Sympo Jacques Wainer,Ariadne Carvalho Conference proceedings 1995 Springer-Verlag Berli

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Alessandro Crimi,Spyridon Bakasrt and explore knowledge on dependence relations among the objects‘ descriptive variables, and 3) the introduction of a new similarity measure consistent with the used objects‘ representation. We also apply this method to a vegetation classification problem and we show that the achieved classificati

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Lecture Notes in Computer Scienceting ILP systems. We present an ILP environment which takes as input an intensional domain theory and, after verifying that all clauses in the theory are generative, automatically constructs the extensional expression of this domain theory. We illustrate the use of this implemented environment throu

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Modeling intentions with extended logic programming,omplete, rich, interactive user experiences ..Manipulating content and the runtime environment through the Silverlight Plug-in Runtime API ..Consuming, transforming, and displaying content in your Silverlight web application through XML, LINQ-based data access, and isolated storage ..Building custom controls for your Si978-1-4302-2436-5

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Conference proceedings 1995ber 1995..The book presents three invited papers and 31 revised full papers selected from a total 57 submissions, more than half of them coming from abroad. The papers are organized in sections on knowledge representation and automated reasoning, tutoring systems, machine learning, neural networks,

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Unsupervised 3D Brain Anomaly Detectionstem architectures including a multifaceted architecture characterizing the components of design environments, and a process architecture for the evolutionary development of such environments, (ii) specific modules such as critiquing systems, and (iii) a variety of design environments for specific application domains.

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https://doi.org/10.1007/978-3-031-44153-0and Kashyap‘s work [5]. The other combination rule was due to Yager [13]. Even though these rules are robust, we show that in some cases these rules treat evidences asymmetrically and give counterintuitive results. We then propose a combination rule which doesn‘t have these drawback. An intuitive justification for this rule is also provided.

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0302-9743 networks, distributed artificial intelligence, knowledge acquisition and knowledge bases, and natural language processing.978-3-540-60436-5978-3-540-47467-8Series ISSN 0302-9743 Series E-ISSN 1611-3349