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Titlebook: Computational Modeling of Biological Systems; From Molecules to Pa Nikolay V Dokholyan Book 2012 Springer Science+Business Media, LLC 2012

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Nikolay V DokholyanReviews established modeling approaches of biological systems across multiple length and time scales from molecules to cells.Covers recent and emerging computational techniques in modelling biological
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Computational Modeling of Biological Systems978-1-4614-2146-7Series ISSN 1618-7210 Series E-ISSN 2197-5647
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Eisaku Sakane,Manabu Higashida,Shinji ShimojoLet . denote the rational number field and . be an algebraic number of degree .. Then the algebraic number field . = .(.) is the field given by the polynomials in . of degree < . with rational coefficients.
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Stochastic Foundations for the Case-Driven Acquisition of Classification RulesA predictive mathematical model is presented for the expected case-driven transfer of classification rules. Key insights are offered for Knowledge Acquisition in expert systems, machine learning, artificial intelligence, ontology, and folksomonies.
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Wilfried OedArtificial Neural Networks (ANNs) are intelligent, thinking machines. They work in the same way as the human brain. They learn from experience in a way that no conventional computer can and they will shortly solve all of the world’s hard computational problems.
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Hiroaki Kobayashi,Ryusuke Egawa,Hiroyuki Takizawa,Koki Okabe,Akihiko Musa,Takashi Soga,Yoichi ShimomArtificial Neural Networks (ANNs) are intelligent, thinking machines. They work in the same way as the human brain. They learn from experience in a way that no conventional computer can and they will shortly solve all of the world’s hard computational problems.
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N. Thouault,F. Vogel,C. Breitsamter,N. A. AdamsLet J be the set of points of a spherical join space and for any a ∈ J, let ..Let .. We define on .the following hyperoperation: . , where is the hyperoperation of the spherical join space. .. (see [168]) . is a projective join space, such that ., where ë is the identity.
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