行政处罚听证基本原则之解析

行政行为具有单方意志性特征,容易对当事人利益造成损害,因此其实施必须遵循一定的制度要求。而听证作为行政处罚制度的重要内容,对于防止行政机关滥用职权,加强当事人参与程度,保护公民合法权益,提高行政效率起到了积极作用。我国虽然已经建立了听证制度．但从目前来看,还有很多不足,因此必须从完善行证处罚听证基本原则入手,来重构我国行政处罚听证制度。     

妨害传染病防治罪的立法缺陷及其补救

对妨害传染病防治罪存在的立法问题作出评述,提出该罪的可罚范围有待拓宽、行为方式有待明确、与刑法其他罪名需要进一步衔接及统一、刑罚设置上有待进一步完善。     

简论经济犯罪与死刑

我国是世界上对经济犯罪适用死刑的极少数国家之一。随着我国经济的发展,我国的经济犯罪也日益严重,立法机关希望通过死刑的适用来遏制经济犯罪。但事与愿违,死刑的适用并没有收到预期的效果,还违背了刑罚的目的和罪刑均衡原则。因此,我国在立法上应当废除对经济犯罪的死刑,规定经济犯罪的法定最高刑为无期徒刑,并附加适用财产刑。     

Model selection consistency of U-statistics with convex loss and weighted lasso penalty

In the paper we consider minimisation of U-statistics with the weighted Lasso penalty and investigate their asymptotic properties in model selection and estimation. We prove that the use of appropriate weights in the penalty leads to the procedure that behaves like the oracle that knows the true model in advance, i.e. it is model selection consistent and estimates nonzero parameters with the standard rate. For the unweighted Lasso penalty, we obtain sufficient and necessary conditions for model selection consistency of estimators. The obtained results strongly based on the convexity of the loss function that is the main assumption of the paper. Our theorems can be applied to the ranking problem as well as generalised regression models. Thus, using U-statistics we can study more complex models (better describing real problems) than usually investigated linear or generalised linear models.     

Variable selection in the high-dimensional continuous generalized linear model with current status data

In survival studies, current status data are frequently encountered when some individuals in a study are not successively observed. This paper considers the problem of simultaneous variable selection and parameter estimation in the high-dimensional continuous generalized linear model with current status data. We apply the penalized likelihood procedure with the smoothly clipped absolute deviation penalty to select significant variables and estimate the corresponding regression coefficients. With a proper choice of tuning parameters, the resulting estimator is shown to be a root n/p_n-consistent estimator under some mild conditions. In addition, we show that the resulting estimator has the same asymptotic distribution as the estimator obtained when the true model is known. The finite sample behavior of the proposed estimator is evaluated through simulation studies and a real example.     

制度反腐败论

反腐败靠什么 ?反思现行反腐败机制 ,正视现实、借鉴历史、探求理论 ,走出重刑主义误区 ,正确认识刑罚在惩治腐败中的作用是十分必要的。编制严密的制度之网是反腐败的基本保障 ,严密的制度包含对公职人员监控、提高公职人员素质、健全惩治腐败制度等内容。反腐败制度体系的实现途径离不开完善社会主义市场经济体制、实施依法治国基本方略两大重要背景     

基于评价者过滤的个性化信任模型

信任问题是困扰C2C电子商务发展的重要瓶颈。在传统模型基础上,本文进一步引入5梯度的连续性评分标度、交易次数、多维评分、惩罚因子四项因素,研究两种商品交易历史对卖家信任的影响。为满足个性化选择,创建了评价者过滤机制,在此基础上构建可满足用户需要、防范信用欺诈的个性化信任模型,通过仿真实验验证模型的有效性。     

死刑的成本与废除死刑的发展趋势

死刑的成本表现在死刑的程序成本、执行成本、随付成本三个方面。世界上大多数国家巳废酴或中止了死刑,我国应该逐步限制、废除死刑。     

带稀疏惩罚的LCNN盲目图像复原

为了加强算法的稀疏性和稳定性,在SCAD基础上提出了一种新的稀疏惩罚函数,并加入到拉格朗日约束神经网络中,以克服传统盲源分离方法和独立分量分析方法的缺陷,有效地避免了方程的病态问题,提高盲目图像复原的稀疏性、稳定性和准确性。通过人工数据和真实数据的不同复原算法对比实验,证明了带稀疏惩罚的拉格朗日约束神经网络盲目图像复原技术具有良好的图像复原效果。