全文获取类型
收费全文 | 5667篇 |
免费 | 236篇 |
国内免费 | 87篇 |
专业分类
教育 | 3439篇 |
科学研究 | 1145篇 |
各国文化 | 1篇 |
体育 | 525篇 |
综合类 | 441篇 |
文化理论 | 6篇 |
信息传播 | 433篇 |
出版年
2024年 | 2篇 |
2023年 | 34篇 |
2022年 | 173篇 |
2021年 | 298篇 |
2020年 | 306篇 |
2019年 | 226篇 |
2018年 | 114篇 |
2017年 | 108篇 |
2016年 | 125篇 |
2015年 | 261篇 |
2014年 | 463篇 |
2013年 | 436篇 |
2012年 | 528篇 |
2011年 | 489篇 |
2010年 | 314篇 |
2009年 | 296篇 |
2008年 | 303篇 |
2007年 | 300篇 |
2006年 | 279篇 |
2005年 | 219篇 |
2004年 | 165篇 |
2003年 | 147篇 |
2002年 | 108篇 |
2001年 | 88篇 |
2000年 | 57篇 |
1999年 | 34篇 |
1998年 | 34篇 |
1997年 | 16篇 |
1996年 | 14篇 |
1995年 | 14篇 |
1994年 | 8篇 |
1993年 | 9篇 |
1992年 | 7篇 |
1991年 | 10篇 |
1990年 | 1篇 |
1989年 | 3篇 |
1957年 | 1篇 |
排序方式: 共有5990条查询结果,搜索用时 125 毫秒
1.
《Information processing & management》2023,60(2):103217
Existing personality detection methods based on user-generated text have two major limitations. First, they rely too much on pre-trained language models to ignore the sentiment information in psycholinguistic features. Secondly, they have no consensus on the psycholinguistic feature selection, resulting in the insufficient analysis of sentiment information. To tackle these issues, we propose a novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer (GWO) for feature selection (IDGWOFS). Specifically, we introduced the Gaussian Chaos Map-based initialization and neighbor search strategy into the original GWO to improve the performance of feature selection. To eliminate the bias generated when using mutual information to select features, we adopt symmetric uncertainty (SU) instead of mutual information as the evaluation for correlation and redundancy to construct the fitness function, which can balance the correlation between features–labels and the redundancy between features–features. Finally, we improve the common Spark-based parallelization design of GWO by parallelizing only the fitness computation steps to improve the efficiency of IDGWOFS. The experiments indicate that our proposed method obtains average accuracy improvements of 3.81% and 2.19%, and average F1 improvements of 5.17% and 5.8% on Essays and Kaggle MBTI dataset, respectively. Furthermore, IDGWOFS has good convergence and scalability. 相似文献
2.
新闻传媒时代下,乒乓球运动的传播渠道被拓展,影响力也逐年攀升。且该时期新闻媒体形态多元,印刷媒体、广播媒体及互联网媒体,都是新闻传媒的基本构成要素。而不同的新闻媒体,都成为乒乓球运动扩大影响力的平台,使得更多乒乓球运动的爱好者和群众可以从多元新闻渠道中感受到乒乓球运动的魅力。本研究从乒乓球运动的发展优势着手,为新闻传媒时代下乒乓球运动的发展指明方向,探索发展路径与方向。 相似文献
3.
4.
为在电动汽车推广初期提升其在物流配送领域的接受度,缓解途中驾驶人员的"里程焦虑",对电动汽车充电站的选址和定容进行合理规划。不仅考虑驾驶人员为给电动汽车充电而愿意偏离最短路径行驶的偏差路径,还考虑电动汽车进入充电站后的等待时间,提出一个双目标混合整数规划模型。以偏差路径中的车流量来模拟充电需求,以最大化满足路径中需求与最小化平均等待时间两个目标之间的相互平衡作为衡量选址和定容合理性的指标,从而得到充电站的合理规划。结果表明:单次充电行驶里程、偏差距离和服务速率对充电站的选址和定容有重要影响。 相似文献
5.
[目的/意义] 灰色预测法可有效处理情报研究中广泛存在的小样本数据,通过对灰色预测法在情报研究中的应用情况进行梳理,总结其在应用过程中存在的不足,为灰色预测法在情报研究中的进一步应用提供参考。[方法/过程] 通过综述情报研究中涉及灰色预测法的相关文献,从数据选取、模型构建和解决的问题等方面对情报研究中灰色预测法的应用进行概述,总结当前情报研究中灰色预测法的应用所存在的问题,并提出改进建议。[结果/结论] 在方法应用上,已有研究主要采用数列灰预测,且模型集中在单变量灰色预测模型,根据预测对象不同,灰色预测法已经在包括期刊分析、图书馆运行管理、热点主题分析及科研机构评价方面得到了很好的应用,未来可根据预测对象特点及研究目标尝试不同的灰色预测方法,扩宽灰色预测法在其他方面的情报研究问题中的应用。 相似文献
6.
In this paper, we introduce a novel knowledge-based word-sense disambiguation (WSD) system. In particular, the main goal of our research is to find an effective way to filter out unnecessary information by using word similarity. For this, we adopt two methods in our WSD system. First, we propose a novel encoding method for word vector representation by considering the graphical semantic relationships from the lexical knowledge bases, and the word vector representation is utilized to determine the word similarity in our WSD system. Second, we present an effective method for extracting the contextual words from a text for analyzing an ambiguous word based on word similarity. The results demonstrate that the suggested methods significantly enhance the baseline WSD performance in all corpora. In particular, the performance on nouns is similar to those of the state-of-the-art knowledge-based WSD models, and the performance on verbs surpasses that of the existing knowledge-based WSD models. 相似文献
7.
Education researchers, policymakers, and practitioners are concerned with identifying and developing talent for students with fewer opportunities, especially students from historically marginalized groups. An emerging body of research suggests “universally screening” or testing all students, then matching those students with appropriate educational challenges, is effective in helping marginalized students. However, most tests have focused on two areas: math and verbal reasoning. We leverage three nationally representative samples of the U.S. population at different time points that include both novel cognitive measures (e.g., spatial, mechanical, and abstract reasoning) and non-cognitive measures (e.g., conscientiousness, creativity or word fluency, leadership skill, and artistic skill) to uncover which measures would improve proportional representation of marginalized groups in talent identification procedures. We find that adding spatial reasoning measures in particular—as well as other non-cognitive measures such as conscientiousness, leadership, and creativity—are worthwhile to consider for universal screening procedures for students to narrow achievement gaps at every level of education, including for gifted students. By showing that these nontraditional measures both improve proportional representation of underrepresented groups and have reasonable predictive validity, we also broaden the definition of what it means to be “gifted” and expand opportunities for students from historically marginalized groups. 相似文献
8.
运用文献资料法、数理统计法和逻辑分析法,对《运动选材学》通用教材不同版本的整体结构内容、章节进行纵横竞技体育历史分析,从跨项选材视角下研究《运动选材学》教材体系的发展规律、历史地位、内容体系存在的问题和建立《运动选材学》内容体系的对策,以期为《运动选材学》教材内容体系的建设与发展提供一些有益的理论依据。同时,也为我国备战2020年东京夏季奥运会和2022年北京冬季奥运会提供一定的理论指导。 相似文献
9.
推动京津冀体育产业一体化发展,既是推进京津冀协同发展的重要内涵,也是体育领域落实区域协调发展战略的具体实践。研究表明,京津冀体育产业一体化发展,既面临难得的历史机遇,也面临着严峻的挑战。挑战在于:整体发展失衡,结构亟待优化;市场发育不足,行业竞争加剧;资源环境恶化,低碳锁定障碍;顶层设计不足,合作机制缺失。基于区域协调发展战略,应优化空间布局,推动体育产业错位发展;培育消费市场,推动体育产业创新发展;加快转型升级,推动体育产业低碳发展;完善合作机制,推动体育产业协同发展。 相似文献
10.
Proactive Maintenance practices are becoming more standard in industrial environments, with a direct and profound impact on the competitivity within the sector. These practices demand the continuous monitorization of industrial equipment, which generates extensive amounts of data. This information can be processed into useful knowledge with the use of machine learning algorithms. However, before the algorithms can effectively be applied, the data must go through an exploratory phase: assessing the meaning of the features and to which degree they are redundant. In this paper, we present the findings of the analysis conducted on a real-world dataset from a metallurgic company. A number of data analysis and feature selection methods are employed, uncovering several relationships, which are systematized in a rule-based model, and reducing the feature space from an initial 47-feature dataset to a 32-feature dataset. 相似文献