... map-pings ’ semantic model or semantic domain. For Harel and Rumpe [67] , the semantic defi nition of a language comprises a semantic domain and a semantic mapping from the syntax to the semantic ... artifacts and, eventually, information inconsistency. The growing demand for networked and federated environments requires the convergence of existing web standards and software modeling standards. ... and types in the class model, to describe pre - and post conditions on operations and methods, and to specify initial and derived rules over a UML model. The OCL syntax differs from SQL and...
... pres-ent some conclusions and future work. SOCIAL SEMANTIC WEB The SemanticWeb vision tries to develop new ways to integrate and reuse the information published on the web. To that end, the W3C ... necessarily of the publisher. Social Web Evolution: Integrating Semantic Applications andWeb 2.0 Technologies is part of the IGI Global series named Advances in Semantic Weband Information Systems ... Data Social web evolution : integrating semantic applications andWeb 2.0 technologies / Miltiadis D. Lytras and Patricia Ordonez de Pablos, editors. p. cm.Includes bibliographical references and...
... account of social phobia. This cannot be done however before clarifying the concept ofanxiety in general, and inquiring into its application to the social domain (social anxiety) andsocial phobia ... Pattern32 The Genealogy of Social Phobia16Part II What is The Nature of Social Phobia?253 Social Phobia as a Disorder of Social Anxiety274 Social Phobia as a Disease675 Social Phobia as a Hypothetical ... how persons embody social anxiety and enact the social phobic pattern is to depict three social phobicindividuals.3 Anxiety: Emotion or Construct?What then is anxiety and what is the meaning...
... 5:63ịwhere^xxkjN and pkjNare dened as the conditional mean and variance of xkgiven^ww and all the data, fykgN1. The terms^xxkjN and pkjNare the conditionalmean and variance of ... and L.E. Atlas, ‘‘Recurrent neural networks and robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2),240–254 (1994).[15] S.C. Stubberud and M. Owen, ‘‘Artificial neural network ... proposed initially in [30], and further developed in [31] and [32], theEKF can also be used for estimating the parameters of nonlinear models(i.e., training neural networks) from clean data....
... D.A. Rand and L S. Young, Eds., Dynamical Systems and Turbulence, Warwick 1980,Lecture Notes in Mathematics, Vol. 898. Berlin: Springer-Verlag, 1981,pp. 365–381.[53] J. Hertz, A. Krogh, and ... matrices A and B multiplying inputs x and u, respectively; and anoutput bias vector b, and the noise covariance Q. Each RBF is assumed tobe a Gaussian in x space, with center ci and width given ... 1983.[8] G.C. Goodwin and K.S. Sin, Adaptive Filtering, Prediction and Control.Englewood Cliffs, NJ: Prentice-Hall, 1984.[9] J. Moody and C. Darken, ‘‘Fast learning in networks of locally-tunedprocessing...
... although to understand this point you need to understand functions and global and local variables, which are covered later.A variable’s value can be recalled or changed by the script, and when you ... purchase PDF Split-Merge on www.verypdf.com to remove this watermark. ❑ When you come across symbols such as (, {, [, “, and ‘they must have a closing symbol to match‘, “, ], }, and ... Works in Netscape 2 and IE4 and later versions.443Chapter 11: Learning JavaScript59313c11.qxd:WroxPro 3/23/08 1:21 PM Page 443Please purchase PDF Split-Merge on www.verypdf.com to remove this...
... D.A. Rand and L.S. Young, Eds. Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol. 898. 1981,p. 230. Berlin: Springer-Verlag.[6] A.M. Fraser, ‘‘ Information and ... ‘‘Detecting Strange Actuators in Turbulence,’’ in D.A. Rand and L.S. Young, Eds. Dynamical Systems and Turbulence, Warwick, 1980,Lecture Notes in Mathematics, Vol. 898.[5] R. Man˜e´, ‘‘On the ... deviation in83Kalman Filtering and Neural Networks, Edited by Simon HaykinISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc.Kalman Filtering and Neural Networks, Edited by Simon HaykinCopyright...
... the parameters. The use of the EKFfor training neural networks has been developed by Singhal and Wu [8] and Puskorious and Feldkamp [9], and is covered in Chapter 2 of thisbook. The use of the ... with neural networks. Double Inverted Pendulum A double inverted pendulum (see Fig.7.4) has states corresponding to cart position and velocity, and top and bottom pendulum angle and angular ... DkẳD@H^xxk; nị@nnn;7:29ị and where Rv and Rnare the covariances of vk and nk, respectively.7.2 OPTIMAL RECURSIVE ESTIMATION AND THE EKF227 A number of variations for...
... maturities that were highly liquid and involved lower income and capital risk and made large, relatively illiquid and risky investments of ãããããã The Economic andSocial Effects of Financial ... Economic andSocial Policies to Achieve the United Nations Development Agenda’, held at United Nations, New York, on March 14 and 15, 2005 for their useful insights. The Economic andSocial ... copies and posted on the DESA website at http://www.un.org/esa/desa/papers to stimulate discussion and critical comment. The views and opinions expressed herein are those of the author and do...