BP_Adaboost算法的改进及在首轮融资时总票房分类预测中的应用

为获得改进的分类算法BP_Adaboost,利用思维进化算法(MEA)和列文伯格-马夸尔特算法(LM)结合改进的BP神经网络作为弱分类器,由改进的弱分类器集成得到MEA-LM-BP_Adaboost算法.提出了基于MEA-LM-BP_Adaboost算法的首轮融资时总票房分类预测方法,该方法包括变量选取及操作化处理、网络参数优化、MEA改进弱分类器、LM算法改进弱分类器、MEA-LM-BP_Adaboost算法的流程设计、待预测电影验证6个部分.选用2013～2018年的245部国产电影作为样本验证该预测方法和模型,测试集分类准确率可达73.3％.最后在模型准确率、稳定性、K折交叉验证3方面进行模型整体性能比较,结果表明本文提出的模型整体性能最好.     

基于强化局部特征的3D点云分类与分割网络

在点云的处理过程中,许多深度学习网络未能充分考虑局部点之间的复杂关系,导致大量空间几何信息丢失。针对该问题,提出了一个强化局部特征的网络,用于点云的目标分类和语义分割。该网络通过设计编码单元对点的多方向信息进行编码;通过注意力机制学习采样分组后形成局部点云的特征。同时提出了一种新的多维损失函数,结合使用交叉熵损失函数与中心损失函数作用于分类任务。在数据集ModelNet40和ScanNet上进行了大量实验,结果表明：该网络在点云的目标分类和语义分割任务上表现出较好的性能。     

Pierre Duhem’s good sense as a guide to theory choice

This paper examines Duhem’s concept of good sense as an attempt to support a non rule-governed account of rationality in theory choice. Faced with the underdetermination of theory by evidence thesis and the continuity thesis, Duhem tried to account for the ability of scientists to choose theories that continuously grow to a natural classification. I will examine the concept of good sense and the problems that stem from it. I will also present a recent attempt by David Stump to link good sense to virtue epistemology. I will argue that even though this approach can be useful for the better comprehension of the concept of good sense, there are some substantial differences between virtue epistemologists and Duhem. In the light of this reconstruction of good sense, I will propose a possible way to interpret the concept of good sense, which overcomes the noted problems and fits better with Duhem’s views on scientific method and motivation in developing the concept of good sense.     

Can we agree on an ecological classification of subterranean animals?

That the ties between any obligate subterranean species and the hypogean environment depend on the interplay of a species' own physiological characteristics and all of the ecological characteristics of the adjacent epigean habitat(s), including biotic factors, has been emphasized. The reasons why troglomorphy cannot be included within criteria for classifying cave dwellers have been demonstrated. After a review of historic classifications, standardized definitions of the most widely used terms are proposed. The most easily recognized are four categories which are terminological approximations of the classic Schiner‐Racovitza terminology: (1) troglobiont is a species or population, strictly bound to a hypogean habitat; (2) eutroglophile is an essentially epigean species, but able to maintain a permanent subterranean population; (3) subtroglophile is inclined perpetually or temporarily to inhabit a subterranean habitat but is bound to the surface for some biological functions (e.g. feeding); (4) trogloxene is a species only occurring sporadically underground.     

Classification,reconstructed phylogeny and geographic history of the Neotropical phorid flies of the genus Gymnophora (Diptera: Phoridae)

The Neotropical species of Gymnophora are revised to include 28 species, 17 of which are new. Two subgenera, Cerocratia (in a revised sense) and Gymnophora s.s. are recognized. Cerocratia includes Gymnophora triangularis sp. nov., G. acutangula Schmitz, G. latibrachia sp. nov., G. lacertosa sp. nov., G. chilensis Borgmeier, G. parachilensis sp. nov., G. aemula Borgmeier, G. forticornis Schmitz, and doubtfully G. colona Brues. G. adumbrata Borgmeier is considered as a junior synonym of G. aemula (syn. nov.). Within Gymnophora s.s. there are four major lineages, the G. commotria-group, the G. carina-group, the G. cymatoneura-group and the G. quartomollis-group. Of these, the G. carina-group and the G. quartomollis-group are known only from the Holarctic Region. The G. commotria-group consists of the G. forcipis-series, containing G. forcipis sp. nov., subuncata sp. nov. and uncata sp. nov., and G. damula-series, whose species are further organized into the G. strigula-subseries, containing G. strigula sp. nov. and G. unidentata sp. nov., plus the G. falciformis-subseries, containing G. alces sp. nov., damula sp. nov. and falciformis sp. nov. Also included in the G. commotria-group are eight residual species whose relationships cannot be deduced at this time. Three of these species, G. commotria Schmitz, penai sp. nov. and quadrata sp. nov. are more closely related to each other than to G. auricula sp. nov., brasiliensis Borgmeier, heteroneura Schmitz, inusitata sp. nov. and trispina sp. nov. The G. cymatoneura-group contains G. cymatoneura Enderlein and G. spiracularis Borgmeier, and the male of G. spiracularis is described for the first time. A key is given that permits identification of males of most species, but females cannot be identified with certainty. A partially sequenced classification of the genus indicates the relationships of most of the included species. The genus may have originated in the Neotropical Region, although the evidence is tenuous, and shows some similarity of distribution to Andean-centered plant groups.     

基于模糊粗糙集的层次分类增量特征选择

随着大数据时代的到来,数据的类标签数量急剧增加,对现有的分类任务带来了严峻的挑战。为了解决这个问题,人们通常将标签组织成层次结构,使用结构中所包含的信息来对任务进行学习。考虑样本的不断增加,使用模糊粗糙集信息熵设计了一种面向层次分类的增量特征选择算法。考虑兄弟策略,将现有的λ条件熵推广到了层次分类的情形,设计了一种非增量的层次分类特征选择算法,设计了λ增量条件熵,基于此设计了增量版本的特征选择算法。在实验中,采用了包括非增量版本在内的7种不同的特征选择算法在5个层次数据集上与增量算法进行比较,实验结果验证了2种算法的有效性,并且所设计的增量算法能在不影响性能的情况下加快特征选择的进程。     

地貌分类指标的钢柔性探索

争对目前地貌类型基本概念的极度混乱现象,文章提出了地貌分类指标的钢柔性方法。该法把直接影响地貌类型基本概念的指标定为钢性指标,把与地貌类型基本概念不密切的指标定为柔性指标,并在此基础上建立了地貌钢柔性分类系统的参考模式,解决了地貌概念的混乱问题,同时增强了地貌分类的灵活性。该结果对促动地貌的生产利用和科学普及有一定作用。     

论看守所管理体制改革——以比例原则为视角

比例原则是现代公法学中的“帝王条款”,比例原则应贯穿于看守所管理的整个过程,针对目前看守所管理中存在的有违比例原则的现象,建立看守所管理的分级管理和处遏制度是十分必要的,本文试图从比例原则的角度探讨看守所管理改革的若干思路.     

基于卷积神经网络和稀疏滤波的调制识别方法

针对当前通信系统所采用的主要调制方式,提出了一种基于卷积神经网络和稀疏滤波的调制识别方法。首先,分析了利用信号循环谱二维灰度图进行通信信号调制识别的可行性;然后,通过降采样和裁剪技术对循环谱图预处理;最后,设计了深度卷积神经网络架构,并提出了稀疏滤波预训练的方法。仿真结果表明:相比于经典的基于深度学习的调制识别方法,该方法模型简单,优化量少,且在小样本场景下性能最佳,具有很高应用价值。     

音乐推荐系统中的用户冷启动问题

利用新用户使用音乐时的上下文环境信息来解决冷启动问题.当用户播放音乐时，提取用户当时场景的时间、天气、状态等信息，利用这些信息构建决策树分类模型.当新用户使用音乐推荐系统时，提取当前情景的上下文信息，根据决策树分支和上下文信息判断新用户的兴趣，向新用户推荐音乐.实验结果表明，当采用上下文相关音乐推荐算法，推荐数目不超过6项时，新用户对推荐结果的满意度超过TopN算法.