On boosting kernel density methods for multivariate data: density estimation and classification

Statistical learning is emerging as a promising field where a number of algorithms from machine learning are interpreted as statistical methods and vice-versa. Due to good practical performance, boosting is one of the most studied machine learning techniques. We propose algorithms for multivariate density estimation and classification. They are generated by using the traditional kernel techniques as weak learners in boosting algorithms. Our algorithms take the form of multistep estimators, whose first step is a standard kernel method. Some strategies for bandwidth selection are also discussed with regard both to the standard kernel density classification problem, and to our 'boosted' kernel methods. Extensive experiments, using real and simulated data, show an encouraging practical relevance of the findings. Standard kernel methods are often outperformed by the first boosting iterations and in correspondence of several bandwidth values. In addition, the practical effectiveness of our classification algorithm is confirmed by a comparative study on two real datasets, the competitors being trees including AdaBoosting with trees.     

食品专业有机及生物化学整合实践教学的改革实践

探讨了高职教育中食品专业人才培养实践课程结构改革的必要性,将有机化学和生物化学两门基础课重组合并为"有机及生物化学"一门课程。研究两门课程的整合在理论和实践上的可行性,同时对可能存在的问题提出了必要的应对措施。     

动画造型艺术的魔幻思维

本文在阐释动画本体的基础上,结合动画发展的历史,论述了动画是一门始终追求魔幻思维的造型艺术,其魔幻思维的魅力集中体现在表现超越的时空观念和超越的想象力两个方面.在艺术表现中动画魔幻思维的生命力构成了动画造型艺术本身的生命力,随着动画魔幻思维的拓展,动画艺术的魅力也将越发展现出来.     

Pyramids and the separation between direction and control of non-financial Italian family companies

This paper uses a multiple case study analysis of ten Italian business groups controlled by families to answer the following research questions: Does the controlling shareholder, through the parent company at the top of the pyramidal group, always exercise the direction activity of the subsidiaries? If not, why does the parent company not exercise that activity, delegating it to its subsidiaries? What is the degree of separation between control and direction within the group? A high percentage of our sample declares not to be directed by the parent company. However, the presence of family members on the subsidiaries’ boards and the low boards’ independence makes the separation between direction and control more apparent than real. The credibility of the separation is questioned mostly for those non-directed subsidiaries that operate in the same sector. Our analysis suggests some elements, in order to understand in which cases the direction activity by the parent (or its delegation to the subsidiaries) should be interpreted positively or negatively in terms of controlling shareholder expropriation, by proposing to use the degree of separation between direction and control as a proxy to assess indirectly the degree of that expropriation.     

成都休闲文化的特征及形成机制分析

成都市的休闲文化极具地方特色,因此保持它的休闲文化特性具有重要的意义.本文通过实证研究对成都休闲文化的特征进行了分析,结果表明:成都市的休闲文化具有大众性、超前性、娱乐性和多样性.基于调查, 本文还深入探讨了成都休闲文化的形成机制:地域是成都休闲文化产生的必要条件;经济是成都休闲文化发展的理性选择;场域和惯习是成都休闲文化传承的社会建构.     

The Input Evaluation of Generalized Bernoulli Processes for Salary Lines Construction by Means of Continuous Time Generalized Non-Homogeneous Semi-Markov Processes

Salary line forecasting assumes a relevant role in manpower and in pension funds Previously, the authors presented a generalized Bernoulli process, useful for forecasting the evolution of salary lines, taking into account the salary costs, the number of workers at each rank and the probability transitions between the ranks. The problem with applying this model is constructing the probability of transition between the grades. In this article, we will present a model that allows obtaining these probabilities by means of the solution of the evolution equation of a generalization of continuous time non-homogeneous semi-Markov processes.     

基于状态空间模型的宏观经济因素对股市流动性的建模分析

证券市场的流动性是评估一国证券市场是否健康运转的重要指标。关于流动性的各种学术研究也是金融市场微观结构理论中的热点问题。本文主要考察宏观经济因素对时变的股市流动性的影响，选取度量股票流动性的指标以及宏观经济变量，针对行业分类的面板数据提出三个动态因子模型，并引入跨行业的能够捕捉风险聚集现象的潜在因子进行建模，利用状态空间模型与Kalman滤波进行分析和样本外流动性风险预测。我们提出的新颖的带回归效应的高斯面板数据时间序列模型，结合了用主成分的方法从大量宏观经济协变量中提取出来的因子，用来分析和预测股市的流动性风险，具有较强的信息挖掘作用。在对上证A 股的实证研究中，我们发现动态的潜在因子的引入对于防止流动性估计的偏差是需要的。     

论高等教育产业化经营的理论内涵与实现机制

学会经营正在成为西方现代大学的一种理念。在我国以政府为主导的“依附型”的高等教育管理体制下,高等学校不需要经营,也不必学会经营。跨入21世纪,倡导和推进高等教育产业化经营,将有助于实现我国高等教育发展机制的根本性转变。基于高等教育的产业属性和高等教育发展需要的产业化经营有着深刻的理论内涵和独特的实现机制。     

多媒体技术在法学教学中的应用

多媒体技术在法学教学中的广泛应用,不但激发了学生的学习兴趣,提升了教学效果,而且也改变了学生传统的学习习惯。应用多媒体技术时需要注意的事项包括以教学内容为核心,在资源取舍上下工夫,促成学生参与教学和关注细节也是教学效果的保证。     

大学生合作精神评价体系的实证研究

新时期下,加强大学生合作精神的培养是增强思想政治教育工作实效性和针对性,促进大学生成长成才的基本保障.为此,文章根据指导性与目标性、科学性与全面性、教育性与激励性、简洁性与实效性的构建原则,采用德尔菲专家咨询法和层次分析法,建立3个一级指标、11个二级指标、30个三级指标的大学生合作精神评价体系.从测评组织机构、测评程序、测评时间、测评结果处理与学生管理等方面对大学生合作精神评价体系的测评办法进行说明,并从评价内容、评价方式、评价管理、评价结果、评价功能、评价体系的探索与完善等方面对大学生合作精神评价体系的使用提出建议.