期刊文献+
共找到247篇文章
< 1 2 13 >
每页显示 20 50 100
Asymmetries in factors influencing non‑fungible tokens’(NFTs)returns
1
作者 Botond Benedek Bálint Zsolt Nagy 《Financial Innovation》 2025年第1期602-621,共20页
The asymmetries of factors influencing the return of cryptocurrencies have already been well documented;however,in the case of NFTs,only information asymmetries and hedging properties related to asymmetries were studi... The asymmetries of factors influencing the return of cryptocurrencies have already been well documented;however,in the case of NFTs,only information asymmetries and hedging properties related to asymmetries were studied.Therefore,the present study examines factors affecting NFT returns,from market-related factors(cryptomarket index return and stock market index return)to the Amihud illiquidity ratio and Google search trends during different market conditions.The wavelet coherences-based methodology was applied separately during the boom,bust,normal,and turbulent periods identified by structural breakpoints.Based on 14 NFT projects between April 2019 and July 2022,results show two fundamental asymmetries influencing these NFT returns.First,there is an asymmetry in the behavior of the factors in different periods;second,there is an asymmetry in how illiquidity manifests itself over NFTs that do or do not possess cash flow-generating potential. 展开更多
关键词 Non-fungible tokens Partial wavelet coherence Multiple wavelet coherence Multiple endogenous structural breaks
在线阅读 下载PDF
基于深度卷积-Tokens降维优化视觉Transformer的分心驾驶行为实时检测 被引量:7
2
作者 赵霞 李朝 +2 位作者 付锐 葛振振 王畅 《汽车工程》 EI CSCD 北大核心 2023年第6期974-988,1009,共16页
针对基于端到端深度卷积神经网络的驾驶行为检测模型缺乏全局特征提取能力以及视觉Transformer(vision transformer,ViT)模型不擅长捕捉底层特征和模型参数量较大的问题,本文提出一种基于深度卷积和Tokens降维的ViT模型用于驾驶人分心... 针对基于端到端深度卷积神经网络的驾驶行为检测模型缺乏全局特征提取能力以及视觉Transformer(vision transformer,ViT)模型不擅长捕捉底层特征和模型参数量较大的问题,本文提出一种基于深度卷积和Tokens降维的ViT模型用于驾驶人分心驾驶行为实时检测,并通过开展与其他模型的对比试验、所提模型的消融试验和模型注意力区域的可视化试验充分验证了所提模型的优越性。本文所提模型的平均分类准确率和精确率分别为96.93%和96.95%,模型参数量为21.22 M,基于真实车辆平台在线推理速度为23.32 fps,表明所提模型能够实现实时分心驾驶行为检测。研究结果有利于人机共驾系统的控制策略制定和分心预警。 展开更多
关键词 汽车工程 分心驾驶行为检测模型 视觉Transformer 多头注意力机制 卷积神经网络 tokens降维
在线阅读 下载PDF
Non‑fungible tokens:a bubble or the end of an era of intellectual property rights
3
作者 Elli Kraizberg 《Financial Innovation》 2023年第1期777-796,共20页
The viability of exponentially growing non-fungible token(NFT)market is evaluated by identifying potential value-generating mechanisms that can be rationalized.After identifying the value-generating mechanisms underly... The viability of exponentially growing non-fungible token(NFT)market is evaluated by identifying potential value-generating mechanisms that can be rationalized.After identifying the value-generating mechanisms underlying the positive values of NFTs,this study establishes a pricing model for NFTs that follows a continuous-time financial framework.As NFTs are claimed to securitize“ownership rights short of use”,and as such they may potentially serve as a substitute for the need to rely replace the reliance on the legal protection provided by intellectual property rights(IPRs).Considering this issue,this study evaluates the likelihood that NFTs will replace existing mechanisms that protect producers’rightful claim to use their assets or the need to apply the legal code that governs IPRs.The financial condition for this potential shift is derived for a category of assets whose use or consumption does not reduce supply as the notion of scarcity does not apply. 展开更多
关键词 Non-fungible tokens Intellectual property rights STATUS
在线阅读 下载PDF
Computational Results on Quadratic Functional Model for the Tokens of Nuclear Safety
4
作者 Joseph Olorunju Omolehin Lukuman Aminu Kamilu Rauf 《American Journal of Computational Mathematics》 2013年第1期6-15,共10页
In this work, Nuclear Reactor safety was modeled inform of quadratic functional. The nuclear tokens are structured and used as elements of the control matrix operator in our quadratic functional. The numerical results... In this work, Nuclear Reactor safety was modeled inform of quadratic functional. The nuclear tokens are structured and used as elements of the control matrix operator in our quadratic functional. The numerical results obtained through Conjugate Gradient Method (CGM) algorithm identify the optimal level of safety required for Nuclear Reactor construction at any particular situation. 展开更多
关键词 CONTROL OPERATOR NUCLEAR tokens CGM ALGORITHM OPTIMAL
在线阅读 下载PDF
Tokenomics in the Metaverse:understanding the lead-lag effect among emerging crypto tokens
5
作者 Chong Guan Wenting Liu +1 位作者 Yinghui Yu Ding Ding 《Financial Innovation》 2024年第1期1539-1557,共19页
The convergence of blockchain and immersive technologies has resulted in the popularity of Metaverse platforms and their cryptocurrencies,known as Metaverse tokens.There has been little research into tokenomics in the... The convergence of blockchain and immersive technologies has resulted in the popularity of Metaverse platforms and their cryptocurrencies,known as Metaverse tokens.There has been little research into tokenomics in these emerging tokens.Building upon the information dissemination theory,this research examines the role of trading volume in the returns of these tokens.An empirical study was conducted using the trading volumes and returns of 197 Metaverse tokens over 12 months to derive the latent grouping structure with spectral clustering and to determine the relationships between daily returns of different token clusters through augmented vector autoregression.The results show that trading volume is a strong predictor of lead-lag patterns,which supports the speed of adjustment hypothesis.This is the first large-scale study that documented the lead-lag effect among Metaverse tokens.Unlike previous studies that focus on market capitalization,our findings suggest that trade volume contains vital information concerning cross-correlation patterns. 展开更多
关键词 Tokenomics Lead-lag Metaverse tokens Trade volume Daily returns
在线阅读 下载PDF
Return and volatility spillovers between non-fungible tokens and conventional currencies:evidence from the TVP-VAR model
6
作者 Imran Yousaf Manel Youssef Mariya Gubareva 《Financial Innovation》 2024年第1期1974-1995,共22页
This study investigates the static and dynamic return and volatility spillovers between non-fungible tokens(NFTs)and conventional currencies using the time-varying parameter vector autoregressions approach.We reveal t... This study investigates the static and dynamic return and volatility spillovers between non-fungible tokens(NFTs)and conventional currencies using the time-varying parameter vector autoregressions approach.We reveal that the total connectedness between these markets is weak,implying that investors may increase the diversification benefits of their multicurrency portfolios by adding NFTs.We also find that NFTs are net transmitters of both return and volatility spillovers;however,in the case of return spillovers,the influence of NFTs on conventional currencies is more pronounced than that of volatility shock transmissions.The dynamic exercise reveals that the returns and volatility spillovers vary over time,largely increasing during the onset of the Covid-19 crisis,which deeply affected the relationship between NFTs and the conventional currencies markets.Our findings are useful for currency traders and NFT investors seeking to build effective cross-currency and cross-asset hedge strategies during systemic crises. 展开更多
关键词 Non-fungible tokens Conventional currencies Static connectedness Dynamic return and volatility spillovers TVP-VAR model Covid-19
在线阅读 下载PDF
Extreme connectedness between cryptocurrencies and non-fungible tokens:portfolio implications
7
作者 Waild Mensi Mariya Gubareva +2 位作者 Khamis Hamed Al-Yahyaee Tamara Teplova Sang Hoon Kang 《Financial Innovation》 2024年第1期1604-1630,共27页
We analyze the connectedness between major cryptocurrencies and nonfungible tokens(NFTs)for different quantiles employing a time-varying parameter vector autoregression approach.We find that lower and upper quantile s... We analyze the connectedness between major cryptocurrencies and nonfungible tokens(NFTs)for different quantiles employing a time-varying parameter vector autoregression approach.We find that lower and upper quantile spillovers are higher than those at the median,meaning that connectedness augments at extremes.For normal,bearish,and bullish markets,Bitcoin Cash,Bitcoin,Ethereum,and Litecoin consistently remain net transmitters,while NFTs receive innovations.However,spillover topology at both extremes becomes simpler—from cryptocurrencies to NFTs.We find no markets useful for mitigating BTC risks,whereas BTC is capable of reducing the risk of other digital assets,which is a valuable insight for market players and investors. 展开更多
关键词 Cryptocurrencies Nonfungible tokens Extreme quantile connectedness Time-varying parameter vector autoregression TVP-VAR approach
在线阅读 下载PDF
Love Tokens of Tibetan Herdsmen
8
作者 Ye Yuling 《China's Tibet》 2008年第1期29-33,共5页
Tibet is a large,isolated land with a harsh climate.Previously,herdsmen lived in scattered remote areas.Although cultural
关键词 Love tokens of Tibetan Herdsmen
在线阅读 下载PDF
Empirical evidence on the ownership and liquidity of real estate tokens 被引量:1
9
作者 Laurens Swinkels 《Financial Innovation》 2023年第1期1246-1274,共29页
To better understand the potential and limitations of the tokenization of real asset mar-kets,empirical studies need to examine this radically new organization of financial mar-kets.In our study,we examine the financi... To better understand the potential and limitations of the tokenization of real asset mar-kets,empirical studies need to examine this radically new organization of financial mar-kets.In our study,we examine the financial and economic consequences of tokenizing 58 residential rental properties in the US,particularly those in Detroit.Tokenization aims at fragmented ownership.We found that the residential properties examined have 254 owners on average.Investors with a greater than USD 5,000 investment in real estate tokens,diversify their real estate ownership across properties within and across the cities.Property ownership changes about once yearly,with more changes for proper-ties on decentralized exchanges.We report that real estate token prices move accord-ing to the house price index;hence,investing in real estate tokens provides economic exposure to residential house prices. 展开更多
关键词 Blockchain Cryptocurrency Real estate TOKENIZATION
在线阅读 下载PDF
Tokens经济:站上“火山口”
10
《计算机应用文摘》 2026年第2期255-257,共3页
Tokens——大模型时代的“新货币”在大模型领域,Tokens是衡量文本处理与计算成本的核心计量单位。这一概念看似简单,却承载着AI技术从实验室走向产业化的关键密码。随着大模型技术的快速发展,Tokens的消耗量逐渐成为衡量行业进展和市... Tokens——大模型时代的“新货币”在大模型领域,Tokens是衡量文本处理与计算成本的核心计量单位。这一概念看似简单,却承载着AI技术从实验室走向产业化的关键密码。随着大模型技术的快速发展,Tokens的消耗量逐渐成为衡量行业进展和市场活跃度的核心指标。然而,当行业将目光聚焦于Tokens数量的增长时,一个更深层次的问题浮现出来:这些Tokens是否真正创造了价值?还是仅仅沦为一场“数字游戏”? 展开更多
关键词 计算成本 文本处理 tokens 大模型 新货币
在线阅读 下载PDF
Trade Tokens
11
作者 By CHEN WEN 《Beijing Review》 2006年第18期14-15,共2页
In the pursuit of balanced trade with the U.S., China pours it on where it counts A week ahead of Chinese President Hu Jintao's first state visit to the United States, Beijing and Washington reached a series of ag... In the pursuit of balanced trade with the U.S., China pours it on where it counts A week ahead of Chinese President Hu Jintao's first state visit to the United States, Beijing and Washington reached a series of agreements intended to ease the bilateral trade imbalance, including resuming trade in U.S. beef, increasing Chinese market access to U.S. medical devices, telecom services and express delivery, and cracking down on intellectual property rights infringements. 展开更多
关键词 Trade tokens JCC
原文传递
Tokenomics and blockchain tokens: A design-oriented morphological framework 被引量:1
12
作者 Pierluigi Freni Enrico Ferro Roberto Moncada 《Blockchain(Research and Applications)》 2022年第1期80-95,共16页
Blockchain technology has been around for more than ten years,nevertheless,the knowledge about its economic and business implications is still fragmented and heterogeneous.The present article intends to tackle this is... Blockchain technology has been around for more than ten years,nevertheless,the knowledge about its economic and business implications is still fragmented and heterogeneous.The present article intends to tackle this issue with a twofold contribution.The first is an analysis of the shift from economics to tokenomics highlighting the central role played by tokens within blockchain-based ecosystems.The second is a framework for tokens design leveraging a morphological analysis deeply grounded in the literature.As blockchain becomes a mainstream phenomenon,the value of the work proposed lies in lowering the cognitive barriers and in clarifying the space of available options for private and public actors willing to leverage tokenization in their daily operations. 展开更多
关键词 Blockchain TOKENIZATION Tokenomics Classification framework Token design
原文传递
THE MEANING OF FROZEN TOKENS IN LIVE NETS
13
作者 陆维明 A.MERCERON 《Science China Mathematics》 SCIE 1989年第4期459-469,共11页
A concurrent system can be modeled by a Petri net. A live Petri net may have fro-zen tokens. It is showed that such tokens can be deleted if they are superfluous, and, whilethey are useful, can be defrozen if they bec... A concurrent system can be modeled by a Petri net. A live Petri net may have fro-zen tokens. It is showed that such tokens can be deleted if they are superfluous, and, whilethey are useful, can be defrozen if they became frozen due to unfair occurrences of tran-sitions, and, finaloy, some frozen tokens lead to more processes. 展开更多
关键词 FROZEN TOKEN LIVE net UNFAIR occurrence.
原文传递
DeepSeek-R1是怎样炼成的? 被引量:72
14
作者 张慧敏 《深圳大学学报(理工版)》 北大核心 2025年第2期226-232,共7页
简述DeepSeek系列模型在大模型训练中的创新和优化.DeepSeek系列模型的突破主要体现在模型架构、算法创新、软硬件协同优化及整体训练效率的提升.DeepSeek-V3模型采用混合专家(mixture of experts,MoE)模型架构,通过细粒度设计和共享专... 简述DeepSeek系列模型在大模型训练中的创新和优化.DeepSeek系列模型的突破主要体现在模型架构、算法创新、软硬件协同优化及整体训练效率的提升.DeepSeek-V3模型采用混合专家(mixture of experts,MoE)模型架构,通过细粒度设计和共享专家策略,实现计算资源的高效利用;MoE模型架构中的稀疏激活机制和无损负载均衡策略显著提高了模型训练的效率和性能;多头潜在注意力(multi-head latent attention,MLA)机制通过减少内存使用和加速推理过程,降低了模型训练和推理成本;通过引入多token预测(multi-token prediction,MTP)和8位浮点数(floating point 8-bit,FP8)混合精度训练技术,提升了模型的上下文理解能力和训练效率;采用优化并行线程执行(parallel thread execution,PTX)代码显著提高了图形处理器(graphics processing unit,GPU)的计算效率;所提群体相对策略优化(group relative policy optimization,GRPO)对DeepSeek-R1-Zero模型进行纯强化学习训练,跳过了传统的监督微调和人类反馈阶段,显著提升了模型的推理能力.总体而言,DeepSeek系列模型通过多项创新,在人工智能领域取得了显著优势,树立了行业新标杆. 展开更多
关键词 人工智能 DeepSeek 大语言模型 混合专家模型 多头潜在注意力机制 多token预测 混合精度训练 群体相对策略优化
在线阅读 下载PDF
Markets in crypto‑assets regulation:Does it provide legal certainty and increase adoption of crypto‑assets? 被引量:1
15
作者 Tina van der Linden Tina Shirazi 《Financial Innovation》 2023年第1期509-538,共30页
This study discusses the European Union’s proposal for a Regulation on Markets in Crypto-Assets,now subject to formal approval by the European Parliament.The objective is to explore whether it will positively impact ... This study discusses the European Union’s proposal for a Regulation on Markets in Crypto-Assets,now subject to formal approval by the European Parliament.The objective is to explore whether it will positively impact the adoption of crypto-assets in the financial sector.The use of crypto-assets is growing.However,some stakeholders in the financial service sector remain skeptical and hesitant to adopt assets that are yet to be defined and have an unclear legal status.This regulatory uncertainty has been identified as the primary reason for the reluctant adoption.The proposed regulation(part of the EU’s Digital Finance Strategy)aims to provide this legal certainty for currently unregulated crypto-assets.This study investigates whether or not the proposed regulation can be expected to have the intended effect by reviewing the proposed regulation itself,the opinions and reactions of the various stakeholders,and secondary literature.Findings reveal that such regulation will most likely not accelerate the adoption of crypto-assets in the EU financial services sector,at least not sufficiently or as intended.Some suggestions are made to improve the proposal. 展开更多
关键词 MiCA regulation Crypto-assets Legal certainty Blockchain Distributed ledger technology Utility tokens Stablecoins Asset-referenced tokens e-money tokens
在线阅读 下载PDF
抑制非目标干扰的单流纯Transformer跟踪算法
16
作者 顾龙雨 张伟 高赟 《计算机应用》 北大核心 2025年第S1期60-66,共7页
针对单流纯Transformer跟踪算法搜索区域中的相似信息或混乱背景等非目标信息的干扰会影响相关性计算的问题,提出一种抑制非目标干扰的单流纯Transformer跟踪算法。首先,构建抑制非目标干扰模块,该模块采用高相似token合并策略,当高相似... 针对单流纯Transformer跟踪算法搜索区域中的相似信息或混乱背景等非目标信息的干扰会影响相关性计算的问题,提出一种抑制非目标干扰的单流纯Transformer跟踪算法。首先,构建抑制非目标干扰模块,该模块采用高相似token合并策略,当高相似token包含目标信息时,合并操作将保留目标信息,当高相似token包含混乱背景或相似目标干扰信息时,合并操作将降低这些干扰信息的注意力权重;其次,将该模块添加到单流纯Transformer骨干网络中,以抑制干扰多头注意力的计算结果;最后,将抑制干扰后的特征送进跟踪头,从而完成对目标的跟踪。在5个基准数据集上的测试结果表明:与OSTrack(One Stream Tracking)算法相比,在GOT-10k基准数据集AO指标提升1.1个百分点,在NFS、UAV123、TNL2K基准数据集AUC指标分别提升1.6、1.0、1.1个百分点,同时所提算法的跟踪推理速度即每秒帧数(FPS)可达166,证明所提算法成功抑制了非目标的干扰,提升了单流纯Transformer跟踪算法的鲁棒性并且能够保证跟踪的实时性。 展开更多
关键词 目标跟踪 视觉Transformer 干扰抑制 逐层合并的高相似token 多头注意力
在线阅读 下载PDF
应用动态Token的融合特征的持续图像字幕生成 被引量:1
17
作者 晋嘉利 余璐 《计算机工程与应用》 北大核心 2025年第4期176-191,共16页
基于自注意力的结构(如Transformer)在图像字幕生成任务中有着突出的性能优势。但在大多数方法中模型只在静态、同分布数据集上进行训练,而真实世界中的数据分布大多是非独立同分布的数据流,这种设置下的持续图像字幕生成任务更具有挑... 基于自注意力的结构(如Transformer)在图像字幕生成任务中有着突出的性能优势。但在大多数方法中模型只在静态、同分布数据集上进行训练,而真实世界中的数据分布大多是非独立同分布的数据流,这种设置下的持续图像字幕生成任务更具有挑战性。目前针对图像字幕生成的多模态任务的持续学习研究较少,缺乏更适用于基于自注意力模型的持续图像字幕生成方法。针对以上挑战提出了一种应用动态Token的融合特征的持续图像字幕生成方法。在Transformer中对图像字幕生成任务所涉及的不同模态的数据特征进行融合,并对融合特征进行正则化计算;为每一个子任务定义一个Token,Token将随着子任务的切换而变化,这种Token即为动态Token,相比于整个训练阶段只定义一个且被所有子任务共用的静态Token而言,动态Token更能保存每个子任务特有的信息和特点。利用这些动态任务Token和任务标识融合特征注意力模块进一步获得具有任务标识信息的融合特征,并在每个子任务训练结束后保存其对应的Token,以保持模型对旧任务的记忆和表达能力,减少模型对旧任务的灾难性遗忘。在MS-COCO和Flickr30k数据集上的实验结果表明,应用动态Token的融合特征的持续图像字幕生成方法在Transformer架构上优于所有基线方法。以CIDEr指标为例,所有训练任务结束后CIDEr指标的平均分数相较于微调和所有基线方法中的最优方法分别提高了31.06%和13.94%。 展开更多
关键词 图像字幕生成 持续学习 TRANSFORMER 融合特征 动态Token 正则化
在线阅读 下载PDF
基于情感引导-扩散模型的藏族音乐生成网络
18
作者 宋子牛 彭春燕 +1 位作者 王龙辉 郑钰辉 《计算机应用研究》 北大核心 2025年第8期2283-2289,共7页
人工智能技术在音乐创作领域取得了显著进展,但针对藏族音乐自动生成的研究相对匮乏。现有研究在藏族音乐生成中主要面临三个挑战:缺乏特定情感的表达能力、高维特征处理效率低下,以及音乐上下文一致性不足。为解决上述问题,提出一种基... 人工智能技术在音乐创作领域取得了显著进展,但针对藏族音乐自动生成的研究相对匮乏。现有研究在藏族音乐生成中主要面临三个挑战:缺乏特定情感的表达能力、高维特征处理效率低下,以及音乐上下文一致性不足。为解决上述问题,提出一种基于情感引导的扩散模型(emotion-driven diffusion model,EDDM)。该模型基于VAE-diffusion框架,利用变分自编码器提取音源数据关键潜在特征,并在扩散过程中对其进行建模。首先,设计情感特征编码器以提取音乐情感特征,并通过交叉注意力机制将情感特征嵌入到扩散模型中,实现藏族音乐特定情感和风格的精准表达;其次,引入token drop策略过滤冗余特征,提高音乐生成的鲁棒性和多样化;最后,提出self-conditioning机制增强上下文关联,利用上一步信息来指导下一步结果生成,确保音乐生成的一致性。实验结果表明,EDDM在藏族音乐生成任务上效果突出,在客观评价方面,模型在FAD(2.35↓)、JSD(0.08↓)、NDB(18↑)等指标上均优于现有方法;主观评价中,生成的音乐展现出良好的情感表达能力和音乐特征一致性。EDDM在民族音乐自动生成领域具有一定的创新性和应用价值。所生成的部分情感引导的藏族音乐公开在https://szn1998.github.io/。 展开更多
关键词 藏族音乐生成 扩散模型 情感引导 token drop self-conditioning
在线阅读 下载PDF
自然语言处理技术下文本信息语义抽取方法
19
作者 李小松 《现代电子技术》 北大核心 2025年第23期176-180,共5页
在多任务变换和扩充下,对文本信息理解和分析能力要求较高,存在复杂文本结构可扩展性差、标注数据稀缺的问题,对此,文中提出自然语言处理技术下文本信息语义抽取方法。对原始文本进行严格的清洗与净化、实体位置定位、实体邻近词截取、... 在多任务变换和扩充下,对文本信息理解和分析能力要求较高,存在复杂文本结构可扩展性差、标注数据稀缺的问题,对此,文中提出自然语言处理技术下文本信息语义抽取方法。对原始文本进行严格的清洗与净化、实体位置定位、实体邻近词截取、序列长度标准化、Token(分词)化以及特殊标记添加等预处理后,利用BERT模型的多层双向Transformer结构映射为语义词向量序列,有效提取和表示文本中的语义信息和实体关系,扩展复杂文本结构。采用BiGRU(双向门控循环单元)模型对BERT输出的向量序列进行处理后,引入多头注意力机制,并行计算多个注意力权重集合,捕捉句子内部词与词之间的复杂依赖关系,通过Softmax分类器对多头注意力机制的输出进行分类,反复标注实体之间的关系类型,实现下文本信息的语义抽取。实现结果表明:经文中方法处理后的文本数据质量显著提升,对于文本信息的语义抽取F1高达0.99;且更细致地刻画了输入与输出之间的多种相关性,从而有效捕捉句子内部词与词之间的复杂依赖关系,文本信息语义抽取效果较优。 展开更多
关键词 NLP 文本信息 Token化 BERT模型 向量表示 BiGRU模型 多头注意力机制 语义抽取
在线阅读 下载PDF
上一页 1 2 13 下一页 到第
使用帮助 返回顶部