Titlebook: Advances in Computational Intelligence, Part I; 14th International C Salvatore Greco,Bernadette Bouchon-Meunier,Ronald Conference proceedi

Monomania

書(shū)目名稱Advances in Computational Intelligence, Part I影響因子(影響力)




書(shū)目名稱Advances in Computational Intelligence, Part I影響因子(影響力)學(xué)科排名




書(shū)目名稱Advances in Computational Intelligence, Part I網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Advances in Computational Intelligence, Part I網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Advances in Computational Intelligence, Part I被引頻次




書(shū)目名稱Advances in Computational Intelligence, Part I被引頻次學(xué)科排名




書(shū)目名稱Advances in Computational Intelligence, Part I年度引用




書(shū)目名稱Advances in Computational Intelligence, Part I年度引用學(xué)科排名




書(shū)目名稱Advances in Computational Intelligence, Part I讀者反饋




書(shū)目名稱Advances in Computational Intelligence, Part I讀者反饋學(xué)科排名

Ataxia

An Extended Perturbation Theory for QCDin statistical learning theory and plays an important role in estimating the generalization performance of a learning method. Although we cannot answer the above question exactly, we provide a first interesting result in the form of (relatively tight) lower and upper bounds.

Incompetent

沖擊力

Katherine L. Knight,W. Carey Hanlyctive of modeling distinct decision attitudes, both rational cautious and rational precautionary attitudes, taking into account information coherence, and emotional alarming attitude, taking into account only bits of information in order to highlight critical situations.

hegemony

Contemporary Topics in Molecular Immunologyn contribute to reduce the impact of these problems by providing more interpretable and robust models. With this in mind, we present a methodology for structural analysis based on computing with words techniques to properly address vagueness and increase the interpretability. The method has been applied to a real problem with encouraging results.

BUDGE

Uncertainty and Trust Estimation in Incrementally Learning Function Approximations, of an incrementally learning system. They are investigated principally for a simplified scenario that explicitly covers all different kinds of uncertainties. Finally, a combined measure to reflect all uncertainties of an incrementally learning system is presented.

aptitude

On the VC-Dimension of the Choquet Integralin statistical learning theory and plays an important role in estimating the generalization performance of a learning method. Although we cannot answer the above question exactly, we provide a first interesting result in the form of (relatively tight) lower and upper bounds.

征服

Chagrin

Modeling Environmental Syndromes with Distinct Decision Attitudesctive of modeling distinct decision attitudes, both rational cautious and rational precautionary attitudes, taking into account information coherence, and emotional alarming attitude, taking into account only bits of information in order to highlight critical situations.

行為

A Linguistic Approach to Structural Analysis in Prospective Studiesn contribute to reduce the impact of these problems by providing more interpretable and robust models. With this in mind, we present a methodology for structural analysis based on computing with words techniques to properly address vagueness and increase the interpretability. The method has been applied to a real problem with encouraging results.