The relative performance of ensemble methods with deep convolutional neural networks for image classification

Artificial neural networks have been successfully applied to a variety of machine learning tasks, including image recognition, semantic segmentation, and machine translation. However, few studies fully investigated ensembles of artificial neural networks. In this work, we investigated multiple widely used ensemble methods, including unweighted averaging, majority voting, the Bayes Optimal Classifier, and the (discrete) Super Learner, for image recognition tasks, with deep neural networks as candidate algorithms. We designed several experiments, with the candidate algorithms being the same network structure with different model checkpoints within a single training process, networks with same structure but trained multiple times stochastically, and networks with different structure. In addition, we further studied the overconfidence phenomenon of the neural networks, as well as its impact on the ensemble methods. Across all of our experiments, the Super Learner achieved best performance among all the ensemble methods in this study.     

Binary discrimination methods for high-dimensional data with a geometric representation

Four binary discrimination methods are studied in the context of high-dimension, low sample size data with an asymptotic geometric representation, when the dimension increases while the sample sizes of the classes are fixed. We show that the methods support vector machine, mean difference, distance-weighted discrimination, and maximal data piling have the same asymptotic behavior as the dimension increases. We study the consistent, inconsistent, and strongly inconsistent cases in terms of angles between the normal vectors of the separating hyperplanes of the methods and the optimal direction for classification. A simulation study is done to assess the theoretical results.     

高职工科与商科课程的项目驱动教学模式比较研究

工科与商科课程项目驱动教学模式有不同个性,这从工科《固体废物处理与利用》和商科《报关实务》的课程设计比较中可看出。这两门课程教学实践的比较,对其他工科与商科的高职教育课程改革也有一定的借鉴意义。     

Elite,exclusive and elusive: transgovernmental policy networks and iterative policy transfer in the Anglosphere

ABSTRACT

The prominent corridor of bilateral policy transfer between Australia and the UK is underpinned by a long-standing cultural and political proximity. While ad hoc cases of transfer have in recent years been the subject to concerted attention from transfer theorists, much less attention has been given to the rise of multilateral, or transgovernmental, policy networks based on similar cultural and political amity amongst the ‘Anglosphere’ group of states including Australia, Canada, New Zealand, the UK and the US. Populated by policy elites and regularly interacting, these networks represent potentially important modes of policy transfer yet little is known about how they operate, with what purposes or what outcomes. This article therefore sets out research findings that offer an insight into 23 identified networks, suggesting that understanding the emergence of these networks are crucial to explaining any bilateral transfer between Anglosphere states in general, and specifically Australia and the UK. The article contends that a consideration of these networks provides insight into (i) the substantive landscape of Anglosphere policy learning and collaboration, (ii) the attendant dynamics of collaborative policy networks as elite, elusive and exclusive and (iii) iterative policy transfers.     

物流企业与供应链成员多边合作价值创造机理及实现——基于组织间学习效应视角

物流企业与上下游企业构成的供应链本质上是一个集知识获取、知识共享与利用为一体的学习系统,知识在供应链中的转移是一个非线性的过程。在物流企业与供应链成员多边合作的过程中,供应链整体的知识吸收能力对供应链成员间学习产生直接的影响,通过供应链成员间的学习实现了基于供应链的知识共享与知识创新,而知识共享与知识创新对于供应链价值具有明显的增值效应。物流企业与供应链成员的多边合作需要从“为顾客解决问题”的知识共享与创新视角出发,建立和完善供应链内部的知识体系及学习机制,由此实现供应链的价值创造。     

学习型组织中知识共享的智障及治理策略研究

通过回顾相关文献,总结出组织学习的2个层次、组织学习过程的2个阶段及知识共享不畅的3个主要因素,并在此基础上建立了组织学习智障的分析框架.认为从知识共享的角度,动机不足造成个体与组织认知智障,机会缺失与能力匮乏造成个体与组织行为智障.然后针对以上4种学习智障,提出了相应的HRM策略,以促进组织内知识共享、克服组织学习智障.     

中国企业创建学习型组织的现状分析及对策研究——以江苏省连云港市企业为例

通过对连云港市企业创建学习型组织现状的实证调研,总结了连云港市企业在创建学习型组织过程中取得的一些经验,剖析了连云港市企业在创建学习型组织中存在的问题.最后,从普遍意义上提出了继续深化中国企业创建学习型组织的对策与建议.     

Change IS Possible: Reducing High-Risk Drinking Using a Collaborative Improvement Model

Abstract

Objective: To describe the adoption of public health and improvement methodologies to address college students’ high-risk drinking behaviors and to aid in prevention efforts. Participants: Members of 32 colleges and universities, content experts, and staff members of the National College Health Improvement Program (NCHIP). Methods: A 2-year learning collaborative developed by NCHIP trained individuals from 32 different college and universities in using the Plan–Do–Study–Act cycle as a method to create and implement initiatives aimed at reducing students’ high-risk drinking behaviors and related harms. Results: Participants experienced success ranging from noteworthy increases in type and amount of interventions directed at reducing high-risk drinking, to creating collaboratives across campus, the local community, and stakeholders. Challenges related to data collection and creating lasting cultural change remain. Conclusions: The use of quality improvement methodologies and creation of a national collaborative successfully effected meaningful change in high-risk drinking behaviors on college campuses.     

高校思想政治教育改革对策研究

在全球一体化的背景下,反思我国高校思想政治教育存在的弊端,推进高校思想政治教育改革势在必行。通过批判高校传统思想政治教育模式,提出以对话与协商、自由与平等、使命与责任的教育理念促进高校思想政治教育改革,加强自由全面的社会主义有用人才的教育,是推进社会主义发展和民主政治改革的内在要求。     

华夏固有学术视域中的“红学”

华夏传统学术,发展至清代,最终形成经、史、子、集"四部"架构体系。产生于中华历史文化与学术综汇期的"古典红学",同样可以从经学、史学、子部之学、诗赋文章之学四种角度观察评析。作为迥异于西方"文学"及"小说研究"的既定学术存在,"古典红学"不仅是当代红学正本清源的历史依据,也是这门华夏固有之学实现学科重建乃至返本开新的学术前提。