Titlebook: Superplumes: Beyond Plate Tectonics; David A. Yuen,Shigenori Maruyama,Brian F. Windley Book 2007 Springer Science+Business Media B.V. 2007

dyspareunia

沐浴

Taku Tsuchiya,Jun Tsuchiya,Renata M. Wentzcovitchry to manifold real — life problems. The collection . is divided into three Parts: APPLICATIONS (Part 1) where in consecutive chapters a discussion of theoretical principles and methods underlying specific applications of rough sets is undertaken, CASE STUDIES (Part 2) bringing forth papers illumina

心胸開闊

ications placed in this volume present a wide spectrum of problems representative to the present. stage of this theory. Researchers from many countries reveal their rec.ent results on various aspects of rough sets. The papers are not confined only to mathematical theory but also include algorithmic

Pedagogy

Soichi Omori,Tetsuya Komabayashie. Snapshot temporal rules are formulated by associating a current decision attribute instance to the relevant past condition attribute instances. Aggregate temporal rules are formulated by associating a current decision attribute instance to the total change of relevant past condition attribute ins

Pruritus

Spina-Bifida

Tsuyoshi Komiya learning, as a successful example model of multi-granularity computation, has made significant progress in the fields of face recognition, image automatic labeling, speech recognition, and so on. Its idea can be generalized as a model of solving problems by joint computing on multi-granular informa

muffler

learning, as a successful example model of multi-granularity computation, has made significant progress in the fields of face recognition, image automatic labeling, speech recognition, and so on. Its idea can be generalized as a model of solving problems by joint computing on multi-granular informa

visual-cortex

Exposition

Anne M. Hofmeister learning, as a successful example model of multi-granularity computation, has made significant progress in the fields of face recognition, image automatic labeling, speech recognition, and so on. Its idea can be generalized as a model of solving problems by joint computing on multi-granular informa

contrast-medium

Frédéric Deschamps,Jeannot Trampert,Paul J. TackleyApproach (VC-DRSA) and the empirical risk minimization problem. VC-DRSA is an extension of DRSA that admits some degree of inconsistency with respect to dominance, which is controlled by thresholds on a consistency measure. To prove this relation, we first solve an optimization problem to find thres