Titlebook: Innovations in Neural Information Paradigms and Applications; Monica Bianchini,Marco Maggini,Lakhmi C. Jain Book 2009 Springer-Verlag Berl

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Neural Grammar Networks,ncluding those that process measurements from a fixed set of sensors naturally lend themselves to vector representations.When data is not easily encoded in fixed-size vectors, a number of transformations of data have been proposed including padding the data, frequency space representations, windowing and others.

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1860-949X g engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study

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Advances in Neural Information Processing Paradigms,hich neural information systems are moving towards approaches that try to exploit the symbolic information available mostly as relations among the data and to specialize themselves, sometimes based on biological inspiration, to cope with difficult applications.

ALIAS

Unsupervised and Supervised Learning of Graph Domains,ng input-output mapping between the symmetrical un-directed graph structures and a real-valued vector. The approach will be illustrated using a standard benchmark problem in text processing, viz., a subset of the Reuters text corpus. Some observations and further research directions are given.

ANT

Regularization and Suboptimal Solutions in Learning from Data, minimized in the various regularized problems, estimates are derived on the accuracy of suboptimal solutions formed by linear combinations of n-tuples of computational units, for values of . smaller than the number of data.

NUDGE

1860-949X of view. Nevertheless, unlike humans, computers have troubles in understanding specific situations, and adapting to new working environments. Artificial intelligence and, in particular, machine learning techniques aim at improving computers behaviour in978-3-642-26097-1978-3-642-04003-0Series ISSN 1860-949X Series E-ISSN 1860-9503

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Fabio Aiolli,Giovanni Da San Martino,Markus Hagenbuchner,Alessandro Sperdutidata from the recommended equation are given. A Chemical Name Index contains the IUPAC names for the compounds, as well as alternate names that often appear in practice. Also includes a Chemical Abstracts Service Registry Number Index and a list of References.... .978-3-540-36111-4Series ISSN 1615-1844 Series E-ISSN 1616-9522