# Multivariate measures

Xem 1-11 trên 11 kết quả Multivariate measures
• ### Báo cáo khoa học: "Training Conditional Random Fields with Multivariate Evaluation Measures"

This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our proposed framework is derived from an error minimization approach that provides a simple solution for directly optimizing any evaluation measure. Speciﬁcally focusing on sequential segmentation tasks, i.e. text chunking and named entity recognition, we introduce a loss function that closely reﬂects the target evaluation measure for these tasks, namely, segmentation F-score. ...

• ### Intelligent Business Pre Intermediate Teachers Book

Although the EPDS is described as a screen for depression, it contains items such as “I have been anxious or worried for no good reason”, and factor analyses of the scale have revealed factors for depression and anxiety (Bowen, Bowen, Maslany, & Muhajarine, 2008; Swalm, Brooks, Doherty, Nathan, & Jacques, 2010). It may be more appropriate to consider the EPDS a measure of “distress,” the mix of depression and anxiety that so often occurs together (Mauri et al., 2010).

• ### Intelligent Business Intermediate TB_2

Since the recognition of the importance of antenatal as well as postnatal depression, a number of studies have looked at the prevalence of depression among pregnant women in the developed and developing world. Prevalence rates vary because of a variety of methodological factors.

• ### Bài 6: Principal Component Analysis and Whitening

Principal component analysis (PCA) and the closely related Karhunen-Lo` ve transe form, or the Hotelling transform, are classic techniques in statistical data analysis, feature extraction, and data compression, stemming from the early work of Pearson [364]. Given a set of multivariate measurements, the purpose is to ﬁnd a smaller set of variables with less redundancy, that would give as good a representation as possible.

• ### Independent component analysis P6

Principal Component Analysis and Whitening Principal component analysis (PCA) and the closely related Karhunen-Lo` ve transe form, or the Hotelling transform, are classic techniques in statistical data analysis, feature extraction, and data compression, stemming from the early work of Pearson [364]. Given a set of multivariate measurements, the purpose is to ﬁnd a smaller set of variables with less redundancy, that would give as good a representation as possible. This goal is related to the goal of independent component analysis (ICA).

• ### METHODS FOR THE STUDY OF MARINE BENTHOS Third Edition

The International Biological Programme (IPB), a world-wide plan of coordinated research on the biological basis of productivity and human welfare, covered terrestrial and aquatic environments, and ran for almost a decade from 1964. Recognising the need for guidance in methodology, the IBP arranged for the publication of a series of handbooks on techniques with the aim of achieving comparability of results all over theworld. One of these handbooks dealt with the study of marine benthos.

• ### Ebook Basic training in chemistry: Part 2

(BQ) Part 2 book "Basic training in chemistry" has contents: Chapter 4 - Instrumental analysis, Chapter 5 - Units and measurements, Chapter 6 - Mathematical concepts. Please refer to the content.

• ### báo cáo khoa học: "Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of GENTLE/S robot-mediated stroke therapy "

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of GENTLE/S robot-mediated stroke therapy

• ### báo cáo hóa học: " Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of GENTLE/S robot-mediated stroke therapy"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of GENTLE/S robot-mediated stroke therapy

• ### Financial Risk Forecasting

The focus in this book is on the study of market risk from a quantitative point of view. The emphasis is on presenting commonly used state-of-the-art quantitative techniques used in finance for the management of market risk and demonstrate their use employing the principal two mathematical programming languages, R and Matlab. All the code in the book can be downloaded from the book’s website at www.financialrisk forecasting.com