Titlebook: COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS; Da Ruan Book 2010 Atlantis Press and the authors 2010 Virtual Reality.artif

无能力之人

Scott J. Grutzik,Alan T. Zehndern procedures is proposed. These procedures are focused on specifying partial order relations on sets of feature values; they are based on a generalization of the classical concepts of logical classification. It is shown that learning a correct logical classifier requires solution of an intractable d

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Myosin

Joseph G. Jacobs,Gabriel J. Brostow,Alex Freeman,Daniel C. Alexander,Eleftheria Panagiotakiopportunities and new challenges that need to be addressed. In order to describe the needs for scanned array development, this book begins with a brief discussion of the history that led to present array antennas. This text is a compact but comprehensive treatment of the scanned array, from the unde

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Washington C. Winn Jr.,David H. Walkereiträge auch die negativen Folgeerscheinungen dieser Entwicklung unter anderem auch durch Technostress auf. Dieser hat dann ebenfalls negative organisatorische Auswirkungen auf die Mitarbeiter*innen, wie z. B. Demotivation, Burnout oder Kündigung zur Folge. Auch für den Vertrieb konnten diese Auswir

delta-waves

Navneet Bhushan MTech, MSc,Kanwal Rai MBA, BE-two writers.These research degree experiences are embedded in the lives and careers of the writers and the twenty-two distinctive projects draw from those individual lives and careers. The authors write about meeting the continuing demands of older and younger family members and of their struggles

ALE

Tullio Ceccherini-Silberstein,Michel Coornaertin the chloroplasts of eukaryotic plants. Cyanobacteria contain three glycolipids, monogalactosyldiacylglycerol, digalactosyldiacylglycerol and sulfoquinovosyldiacylglycerol, and a phospholipid, phosphatidylglycerol, as major glycerolipids. The lipid composition of most cyanobacteria is similar to t

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Dieter Emig,Sabine Hahnhern hybridization, first described by Alwine et al. (.), has become a very powerful technique in many research areas, including that of receptor research. The applications of these techniques are many and include (1) direct assessment of the presence, distribution, and modulation under different ph

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Argument-Based Machine Learninge, . (ABML) is defined as a refinement of the usual definition of ML. In ABML, some learning examples are accompanied by arguments, that are expert’s reasons for believing why these examples are as they are. Thus ABML provides a natural way of introducing domain-specific prior knowledge in a way tha