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Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems; 14th International C Rossitza Setchi,Ivan Jordanov,Lakhmi C. Jain Conf

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Hui Zhang,Ying Liu,Chunping Li,Roger Jiaol seem to think so, flocking to auditions for .The Voice .and .Idol .brands or paying to perform at record label showcases in the hopes of landing a deal. The belief that signing a record contract will almost infallibly lead to some measure of success— the “ideology of getting signed,” as Arditi def
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Masakazu Hirokawa,Kenji Suzukitial to drawing visitors into the content you offer. But what if you want more than just a pretty face? What if you want to give your website and its visitors a more tailor-made design with interactive elements, special effects, and customized functionality to meet the needs of the visitors? Well, i
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Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and inciples in Nature in their interaction and integration. That includes neuronal-, genetic-, and quantum information principles, all manifesting the feature of . First, the talk reviews the main principles of information processing at neuronal-, genetic-, and quantum information levels. Each of these
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Embracing Uncertainty: The New Machine Intelligencen the applicability of this approach helped to drive black-box statistical methods, such as neural networks, based on learning from data. These black-box methods too are hitting limitations, due to the challenges of incorporating background knowledge. In this talk I will describe a new paradigm for
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Knowledge Visualization for Engineered Systemstimisation, education and training. World leading operations are increasingly relying on modelling and simulation to develop more efficient systems and to produce higher quality products and services. Modelling and simulation allows scientists and engineers a better understanding of three-dimensiona
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