[0,1]上四重多小波包的分解与重构     

张金羽 《唐山学院学报》2008,21(2):39-40

给出了[0,1]区间上四重多小波包的定义及其分解与重构算法。  相似文献   

A/r/tography as a Pedagogical Strategy: Entering Somewhere in the Middle of Becoming Artist     

Daniel T. Barney 《The International Journal of Art & Design Education》2019,38(3):618-626

A/r/tography is often considered to be an arts and education practice‐based research methodology, but this author explores a/r/tography as a pedagogical strategy that has informed the author's artistic practice and pedagogical experiments. The author tracks his own journey of entering into an a/r/trographic world and where that entering has positioned him as an artist and educator and then moves on to speculate a possible arts education as his a/r/tography contorts into conceptual doings. Walking is used as a concept, as a process or method to generate more concepts, and as an art form with pedagogical potential within several undergraduate and one graduate course at the author's university. The author also investigates alongside or in concert with the courses he gives. The author equates artistic concepts, like walking, with theoretical and philosophical arguments, assertions and propositions. Artistic processes are equated with methods and methodological concerns, even though these systems of inquiry and knowing may be idiosyncratic in artistic inquiry. And finally, an art form can be understood in research terms as a type of research product or creation, that can be an event, performance, or a continuation of these as write ups or presentations, that are shared with the general or a particular public.  相似文献   

基于公司治理的企业家技术创新行为特征分析   总被引：14，自引：0，他引：14  

杨建君  李垣  薛琦 《中国软科学》2002,(12):124-127,123

本文基于公司治理的角度，用创新动力、创新能力、创新权力和创新决策四个变量来描述企业家技术创新的行为特征，并构建了关于四个变量相互关系的综合模型。分析表明，企业家的创新决策是其重要的行为特征，创新决策是创新动力、创新能力和创新权力的综合反映。创新能力的发挥受到创新动力和权力的影响，而企业家的创新动力和创新权力在很大程度上取决于董事会所能够运用的内部和外部治理机制。  相似文献   

Fair and Explainable Depression Detection in Social Media     

《Information processing & management》2023,60(1):103168

Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is the same for identifying people suffering from depression. Nowadays, a number of researches have been done successfully to identify depressed persons based on their social media postings. However, an unexpected bias has been observed in these studies, which can be due to various factors like unequal data distribution. In this paper, the imbalance found in terms of participation in the various age groups and demographics is normalized using the one-shot decision approach. Further, we present an ensemble model combining SVM and KNN with the intrinsic explainability in conjunction with noisy label correction approaches, offering an innovative solution to the problem of distinguishing between depression symptoms and suicidal ideas. We achieved a final classification accuracy of 98.05%, with the proposed ensemble model ensuring that the data classification is not biased in any manner.  相似文献