نتایج جستجو برای: partial least square regression

تعداد نتایج: 980409  

2017
Dezhi Wu

This research examines the time management strategies of individuals and gathers information on the complex temporal structures they experience and manage. Its focus is on understanding the relationship between the quality of individual time management and an individual’s understanding and use of temporal structures involving electronic calendar systems. This work consists of a survey study whi...

1999
Johny K. Johansson George S. Yip

A recent SMJ article (Hulland, 1999) raises interesting questions about the proper use of partial least squares (PLS) in strategy research. The present note examines some of the issues raised in the article, and briefly extends the methodological discussion to the broader aspects of theory and empirical research in strategy.

2010
Peter Filzmoser

The focus is on robust regression methods for problems where the predictor matrix has full rank and where it is rank deficient. For the first situation, various robust regression methods have been introduced, and here an overview of the most important proposals is given. For the latter case, robust partial least squares regression is discussed. The way of downweighting outlying observations is ...

2009
X. Yin S. Shah A. C. Larson

INTRODUCTION Accurate R2* measurements are critical for many quantitative imaging applications. R2* is estimated via mono-exponential fitting of signal decay within a series of gradient echo (GRE) images sampled at increasing TE. Root-sum-of-square (RSS) remains the most common approach to combine surface coil array images at each TE prior to the data fitting procedure. Rapid signal decay can r...

Journal: :Neurocomputing 2017
Yanfang Tao Peipei Yuan Biqin Song

Learning with Fredholm kernel has attracted increasing attention recently since it can effectively utilize the data information to improve the prediction performance. Despite rapid progress on theoretical and experimental evaluations, its generalization analysis has not been explored in learning theory literature. In this paper, we establish the generalization bound of least square regularized ...

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