標題: Titlebook: Agents and Data Mining Interaction; 10th International W Longbing Cao,Yifeng Zeng,Philip S. Yu Conference proceedings 2015 Springer Interna [打印本頁] 作者: BULK 時間: 2025-3-21 19:01
書目名稱Agents and Data Mining Interaction影響因子(影響力)
書目名稱Agents and Data Mining Interaction影響因子(影響力)學科排名
書目名稱Agents and Data Mining Interaction網(wǎng)絡公開度
書目名稱Agents and Data Mining Interaction網(wǎng)絡公開度學科排名
書目名稱Agents and Data Mining Interaction被引頻次
書目名稱Agents and Data Mining Interaction被引頻次學科排名
書目名稱Agents and Data Mining Interaction年度引用
書目名稱Agents and Data Mining Interaction年度引用學科排名
書目名稱Agents and Data Mining Interaction讀者反饋
書目名稱Agents and Data Mining Interaction讀者反饋學科排名
作者: expansive 時間: 2025-3-21 22:45
https://doi.org/10.1007/978-3-030-77892-7gents’ perspective, interactive dynamic influence diagrams?(I-DIDs) provide a general framework for sequential multiagent decision making in uncertain settings. Most of the current I-DID research focuses on the setting of . agents, which limits its general applications. This paper extends I-DIDs for作者: 柔軟 時間: 2025-3-22 01:30 作者: 口味 時間: 2025-3-22 04:32 作者: Breach 時間: 2025-3-22 09:11 作者: Vulvodynia 時間: 2025-3-22 13:24
Yeshe Colliver,Libby Lee-Hammond components and combines them; while other groups of people are responsible for developing these components. The “accessories library” consists of these relative independent functional components which are abstracted from various simulation cases. Therefore, we propose the “accessories library” and 作者: osteocytes 時間: 2025-3-22 19:18
Jacob Klitm?ller,Sarah K. Jensen performance. Existing methods in the field of software engineering do not adequately address the unpredictable and complex nature of intelligent agents. We introduce a generic methodology for evaluating agent performance; the Agent Performance Evaluation (APE) methodology consists of representation作者: 不持續(xù)就爆 時間: 2025-3-22 22:40
https://doi.org/10.1007/978-3-030-60296-3of each web service is based on the non-functional properties of its interactions with other web services from the same community. We exploit various clustering and anomaly detection techniques to analyze and identify the quality patterns provided by each service. This enables the master of each com作者: NATAL 時間: 2025-3-23 03:07 作者: 債務 時間: 2025-3-23 08:10
https://doi.org/10.1007/978-3-030-86080-6lement in the storytelling, the diversity prolongs the story life and elicits interests on interpreting the story. In this paper, we investigate the narrative diversity given that the storytelling process is modelled by Bayesian networks. Bayesian networks structure causal relations between variable作者: Outspoken 時間: 2025-3-23 10:38 作者: fatty-acids 時間: 2025-3-23 17:25
Longbing Cao,Yifeng Zeng,Philip S. YuIncludes supplementary material: 作者: 確定方向 時間: 2025-3-23 18:33
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/151232.jpg作者: 漂亮 時間: 2025-3-24 01:16
https://doi.org/10.1007/978-3-319-20230-3agent mining; artificial intelligence; bayesian networks; classification; clustering; computational intel作者: choleretic 時間: 2025-3-24 04:36
978-3-319-20229-7Springer International Publishing Switzerland 2015作者: groggy 時間: 2025-3-24 08:59 作者: MURKY 時間: 2025-3-24 12:07 作者: 燦爛 時間: 2025-3-24 18:11 作者: 有偏見 時間: 2025-3-24 19:30 作者: Eeg332 時間: 2025-3-25 01:53
https://doi.org/10.1007/978-3-030-86080-6g the events in Bayesian networks, which preserves the narrative coherence. By adding the sampling process in the propagation, we can see the emergence of the narrative diversity in the storytelling. We study the entire process for a plot in one classical Chinese tale.作者: BRAWL 時間: 2025-3-25 07:25
Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Cross agent-based architecture supporting implementation of interaction-intensive agent collaboration in two variants of target decision making procedure that are content-based and collaborative filtering both exploiting semantic similarity measures.作者: AND 時間: 2025-3-25 09:31 作者: Corporeal 時間: 2025-3-25 12:22 作者: bourgeois 時間: 2025-3-25 17:21
Data Mining Process Optimization in Computational Multi-agent Systems,ith respect to two criteria — error-rate and model learning time, which are partially complementary. The results of the consistent search algorithm on a number of classification data-sets are shown and the advantage of automated preprocessing augmentation of method recommendation is demonstrated.作者: 盲信者 時間: 2025-3-25 20:28 作者: thwart 時間: 2025-3-26 01:23
0302-9743 shop on Agents and Data Mining Interactions, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems..The 11 papers presented were carefully reviewed and selected from numerous submissions for in作者: STANT 時間: 2025-3-26 07:05
Conference proceedings 2015, ADMI 2014, held in Paris, France, in May 2014 as satellite workshop of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems..The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present curren作者: 口音在加重 時間: 2025-3-26 09:39
https://doi.org/10.1007/978-3-030-28412-1rast to the multi-agent simulation, numerical modeling can predict the propagation in multiplex networks by a slight margin. Moreover, we show that the two aspects of temporal dynamics can dramatically vary the influence of multiple layers on information spreading in multiplex networks.作者: 可憎 時間: 2025-3-26 15:05
Culture in World Politics: an Introduction,ic is pairwise, we also propose an adapted SVM which can handle this. The experiment result shows the proposed method outperforms the traditional SVM and other popular classification methods on various public data sets.作者: GROUP 時間: 2025-3-26 19:34
Modeling Temporal Propagation Dynamics in Multiplex Networks,rast to the multi-agent simulation, numerical modeling can predict the propagation in multiplex networks by a slight margin. Moreover, we show that the two aspects of temporal dynamics can dramatically vary the influence of multiple layers on information spreading in multiplex networks.作者: 尋找 時間: 2025-3-26 23:03
A Coupled Similarity Kernel for Pairwise Support Vector Machine,ic is pairwise, we also propose an adapted SVM which can handle this. The experiment result shows the proposed method outperforms the traditional SVM and other popular classification methods on various public data sets.作者: NAV 時間: 2025-3-27 02:40
,Learning Agents’ Relations in Interactive Multiagent Dynamic Influence Diagrams, . agents, which as expected increases the solution complexity due to the model space of other agents in the extended I-DIDs. We exploit data of agents’ interactions to discover their relations thereby reducing the model complexity. We show preliminary results of the proposed techniques in one problem domain.作者: 模仿 時間: 2025-3-27 07:20 作者: 稱贊 時間: 2025-3-27 11:59 作者: 委派 時間: 2025-3-27 16:02
0302-9743 clusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining..978-3-319-20229-7978-3-319-20230-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 富饒 時間: 2025-3-27 21:35
Conference proceedings 2015gent Systems..The 11 papers presented were carefully reviewed and selected from numerous submissions for inclusion in this volume. They present current research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining..作者: 行業(yè) 時間: 2025-3-27 22:18
https://doi.org/10.1007/978-3-030-77892-7 . agents, which as expected increases the solution complexity due to the model space of other agents in the extended I-DIDs. We exploit data of agents’ interactions to discover their relations thereby reducing the model complexity. We show preliminary results of the proposed techniques in one problem domain.作者: 緯線 時間: 2025-3-28 04:05 作者: OPINE 時間: 2025-3-28 09:33 作者: Definitive 時間: 2025-3-28 12:05
,Learning Agents’ Relations in Interactive Multiagent Dynamic Influence Diagrams,gents’ perspective, interactive dynamic influence diagrams?(I-DIDs) provide a general framework for sequential multiagent decision making in uncertain settings. Most of the current I-DID research focuses on the setting of . agents, which limits its general applications. This paper extends I-DIDs for作者: cocoon 時間: 2025-3-28 15:41
Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Crosssing all available data sources. The paper focuses on conceptual level of ontology-based formal model of the customer profile built in actionable form. Learning of cross-domain customer profile as well as its use in recommendation scenario requires solving a number of novel problems, e.g. informatio作者: expound 時間: 2025-3-28 22:29 作者: 撫慰 時間: 2025-3-29 02:58
Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation,cenarios. The challenge is in encoding the agents so that they operate as realistically as possible. The work described in this paper is directed at the mining of movement information from video data which can then be used to encode the operation of agents operating within a MABS framework. More spe作者: 值得贊賞 時間: 2025-3-29 04:35
Accessory-Based Multi-agent Simulating Platform on the Web, components and combines them; while other groups of people are responsible for developing these components. The “accessories library” consists of these relative independent functional components which are abstracted from various simulation cases. Therefore, we propose the “accessories library” and 作者: cortisol 時間: 2025-3-29 09:51
Performance Evaluation of Agents and Multi-agent Systems Using Formal Specifications in Z Notation, performance. Existing methods in the field of software engineering do not adequately address the unpredictable and complex nature of intelligent agents. We introduce a generic methodology for evaluating agent performance; the Agent Performance Evaluation (APE) methodology consists of representation
