Titlebook: Knowledge Discovery from Legal Databases; Andrew Stranieri,John Zeleznikow Book 2005 Springer Science+Business Media B.V. 2005 argumentati

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Hans Eberlepricht auch die Judikatur auch vom „Normsetzer“, wenn damit der Gesetz- oder Verordnungsgeber gemeint ist. Im Einzelfall ist daher genau zu überlegen, ob eine privatrechtliche Standardisierung oder eine öffentlichrechtlich Vorschrift mit normativer Wirkung gemeint ist.

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Calcium transients in amphibian musclethe different orbital vessels: central retinal artery, posterior ciliary artery, ophthalmic artery, central retinal vein, superior and inferior ophthalmic veins, connecting veins, with their normal variants); the eyeball, its anterior segment: the cornea (endothelium, stroma and endothelium), the ir

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what they know and using what they know for maximum benefit. Many organisations employ knowledge engineers to capture knowledge from experts using the principles and techniques of knowledge engineering. The emphasis is on a structured approach built on a sound understanding of the psychology of exp

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Cronike van Brabantthe tissue ingrowth into the porosity of the implant would serve to stabilize the prosthesis in the middle ear thus facilitating sound conduction and preventing dislodgement and extrusion. Initially, porous polymers had been investigated as implants in soft tissue in the early 1950’s (4). Studies in

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Alexandre Gefen,Léa Saint-Raymond,Tommaso Venturini in order to improve reliability, availability, maintenance and lifetime. For safety-related processes fault-tolerant systems with redundancy are required in order to reach comprehensive system integrity.. .This book is a sequel of the book “Fault-Diagnosis Systems” published in 2006, where the basi

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ed, derives from his best-known and most widely read work, the .. That work, as everyone knows, was written for a practical purpose, in order to educate people. Yet the faithful who like to call themselves orthodox Marxists continue to vie with their opponents in reducing Marx’s views — with a zeal

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Neural Hidden Markov Model,We propose a neural hidden Markov models to compute the transition probabilities of higher-order hidden Markov model by a neural network and reduce the cost of computation. It is applied for time-aware recommender systems to show the benefits from the hybrid of combining neural network and hidden Ma