全文获取类型
收费全文 | 519篇 |
免费 | 24篇 |
国内免费 | 4篇 |
专业分类
管理学 | 82篇 |
民族学 | 3篇 |
人口学 | 3篇 |
丛书文集 | 13篇 |
理论方法论 | 3篇 |
综合类 | 367篇 |
社会学 | 28篇 |
统计学 | 48篇 |
出版年
2024年 | 1篇 |
2023年 | 10篇 |
2022年 | 8篇 |
2021年 | 11篇 |
2020年 | 7篇 |
2019年 | 14篇 |
2018年 | 9篇 |
2017年 | 11篇 |
2016年 | 23篇 |
2015年 | 27篇 |
2014年 | 33篇 |
2013年 | 37篇 |
2012年 | 30篇 |
2011年 | 34篇 |
2010年 | 24篇 |
2009年 | 24篇 |
2008年 | 32篇 |
2007年 | 26篇 |
2006年 | 26篇 |
2005年 | 33篇 |
2004年 | 24篇 |
2003年 | 15篇 |
2002年 | 23篇 |
2001年 | 11篇 |
2000年 | 13篇 |
1999年 | 7篇 |
1998年 | 5篇 |
1997年 | 2篇 |
1996年 | 5篇 |
1995年 | 4篇 |
1994年 | 12篇 |
1992年 | 1篇 |
1991年 | 1篇 |
1990年 | 1篇 |
1989年 | 1篇 |
1988年 | 2篇 |
排序方式: 共有547条查询结果,搜索用时 26 毫秒
1.
Jixian Wang 《Pharmaceutical statistics》2021,20(3):645-656
In a clinical trial, sometimes it is desirable to allocate as many patients as possible to the best treatment, in particular, when a trial for a rare disease may contain a considerable portion of the whole target population. The Gittins index rule is a powerful tool for sequentially allocating patients to the best treatment based on the responses of patients already treated. However, its application in clinical trials is limited due to technical complexity and lack of randomness. Thompson sampling is an appealing approach, since it makes a compromise between optimal treatment allocation and randomness with some desirable optimal properties in the machine learning context. However, in clinical trial settings, multiple simulation studies have shown disappointing results with Thompson samplers. We consider how to improve short-run performance of Thompson sampling and propose a novel acceleration approach. This approach can also be applied to situations when patients can only be allocated by batch and is very easy to implement without using complex algorithms. A simulation study showed that this approach could improve the performance of Thompson sampling in terms of average total response rate. An application to a redesign of a preference trial to maximize patient's satisfaction is also presented. 相似文献
2.
Dennis Wagenaar Tiaravanni Hermawan Marc J. C. van den Homberg Jeroen C. J. H. Aerts Heidi Kreibich Hans de Moel Laurens M. Bouwer 《Risk analysis》2021,41(1):37-55
Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data‐driven modeling techniques have been used to capture those relationships. The available data to build such models are often limited. Therefore, in practice it is usually necessary to transfer models to a different context. In this article, we show that this implies the samples used to build the model are often not fully representative for the situation where they need to be applied on, which leads to a “sample selection bias.” In this article, we enhance data‐driven damage models by applying methods, not previously applied to damage modeling, to correct for this bias before the machine learning (ML) models are trained. We demonstrate this with case studies on flooding in Europe, and typhoon wind damage in the Philippines. Two sample selection bias correction methods from the ML literature are applied and one of these methods is also adjusted to our problem. These three methods are combined with stochastic generation of synthetic damage data. We demonstrate that for both case studies, the sample selection bias correction techniques reduce model errors, especially for the mean bias error this reduction can be larger than 30%. The novel combination with stochastic data generation seems to enhance these techniques. This shows that sample selection bias correction methods are beneficial for damage model transfer. 相似文献
3.
4.
ABSTRACTWe describe two recently proposed machine learning approaches for discovering emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset Scan (Herlands, McFowland, Wilson, & Neill, 2017) enables early detection of emerging patterns in spatio-temporal data, accounting for both the complex, correlated nature of the data and the fact that detecting subtle patterns requires integration of information across multiple spatial areas and multiple time steps. We apply this approach to 17 years of county-aggregated data for monthly opioid overdose deaths in the New York City metropolitan area, showing clear advantages in the utility of discovered patterns as compared to typical anomaly detection approaches. To detect and characterize emerging overdose patterns that differentially affect a subpopulation of the data, including geographic, demographic, and behavioral patterns (e.g., which combinations of drugs are involved), we apply the Multidimensional Tensor Scan (Neill, 2017) to 8 years of case-level overdose data from Allegheny County, Pennsylvania. We discover previously unidentified overdose patterns which reveal unusual demographic clusters, show impacts of drug legislation, and demonstrate potential for early detection and targeted intervention. These approaches to early detection of overdose patterns can inform prevention and response efforts, as well as understanding the effects of policy changes. 相似文献
5.
Galateia Terti Isabelle Ruin Jonathan J. Gourley Pierre Kirstetter Zachary Flamig Juliette Blanchet Ami Arthur Sandrine Anquetin 《Risk analysis》2019,39(1):140-161
This article focuses on conceptual and methodological developments allowing the integration of physical and social dynamics leading to model forecasts of circumstance‐specific human losses during a flash flood. To reach this objective, a random forest classifier is applied to assess the likelihood of fatality occurrence for a given circumstance as a function of representative indicators. Here, vehicle‐related circumstance is chosen as the literature indicates that most fatalities from flash flooding fall in this category. A database of flash flood events, with and without human losses from 2001 to 2011 in the United States, is supplemented with other variables describing the storm event, the spatial distribution of the sensitive characteristics of the exposed population, and built environment at the county level. The catastrophic flash floods of May 2015 in the states of Texas and Oklahoma are used as a case study to map the dynamics of the estimated probabilistic human risk on a daily scale. The results indicate the importance of time‐ and space‐dependent human vulnerability and risk assessment for short‐fuse flood events. The need for more systematic human impact data collection is also highlighted to advance impact‐based predictive models for flash flood casualties using machine‐learning approaches in the future. 相似文献
6.
方文超 《齐齐哈尔大学学报(哲学社会科学版)》2014,(5):41-43
管理信息系统故障影响着企业信息工程的开展。及时识别故障,能够为企业争取更多时间处理故障。因此,管理信息系统故障识别有着重要的研究意义和实践意义。基于支持向量机,构建管理信息系统故障识别模型,通过把样本应用于该模型,结果表明该模型具有较好的准确性,能有效识别管理信息系统故障。 相似文献
7.
邵成猛 《石家庄铁道学院学报(社会科学版)》2016,(1):93-96,102
以苏州4号线2标及2号线东延伸线5标地铁工程为背景,分析了盾构机的掘进参数:千斤顶推力、推进速度、刀盘扭矩、螺旋机转速和同步注浆量在不同地层条件下的变化规律。提出了基于盾构机掘进参数的学习向量量化(Learning Vector Quantization,LVQ)神经网络地层识别方法。建立了以盾构机五个掘进参数作为输入,地层特性编码为输出的数学模型,通过每种地层100组训练样本对模型进行训练,通过57步训练,训练样本误差控制在0.1以内,并用每种地层50组检验样本进行检验,地层总体识别率达到82.7%。 相似文献
8.
刘建蒙 《华南农业大学学报(社会科学版)》2011,29(4)
通过分析浆板脱水的工作原理,提出在湿浆板机中可以应用单毛毯来进行压榨。通过比较双毯压榨和单毯压榨在湿浆板机中对浆板回湿,起皱的差别,说明单毛毯压榨在湿浆板机中的应用优势,并对双毯压榨和单毯压榨的经济性比较,提出使用单毛毯压榨可节约成本、降低能耗。最后,指出了在湿浆板机试车中需注意的问题。 相似文献
9.
基于已设计的机械及气动系统,选择欧姆龙公司CP1HX40DTD PLC研制纸箱包装机控制系统。并进行了I/O点分配、PLC外部接线图及程序控制流程图设计,实现了纸板供送、待装箱产品输送、纸箱装箱成形、喷胶封箱整形等工作过程的自动控制。[HTK]具有很高的可靠性和性价比。 相似文献
10.
孙墨池 《华中师范大学研究生学报》2011,(4)
机器功能主义是功能主义的一种重要形式,是一种对心灵的本体论问题和其它心理属性具有较强的解释力的,克服了逻辑行为主义和类型同一论部分困难的哲学理论。但机器功能主义虽然作为一种主流的理论也有其局限性,例如在解释感受性质等问题上具有不可克服的困难。 相似文献