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Model Predictivity Assessment: Incremental Test-Set Selection and Accuracy Evaluation 模型预测评估:增量测试集选择和准确性评估
IEEE Symposium on Swarm Intelligence Pub Date : 2022-07-08 DOI: 10.1007/978-3-031-16609-9_20
E. Fekhari, B. Iooss, Joseph Mur'e, L. Pronzato, M. Rendas
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引用次数: 4
Particle swarm optimizer for variable weighting in clustering high-dimensional data 高维数据聚类中变权重的粒子群优化算法
IEEE Symposium on Swarm Intelligence Pub Date : 2009-05-15 DOI: 10.1109/SIS.2009.4937842
Yanping Lv, Shengrui Wang, Shaozi Li, Changle Zhou
{"title":"Particle swarm optimizer for variable weighting in clustering high-dimensional data","authors":"Yanping Lv, Shengrui Wang, Shaozi Li, Changle Zhou","doi":"10.1109/SIS.2009.4937842","DOIUrl":"https://doi.org/10.1109/SIS.2009.4937842","url":null,"abstract":"This paper proposes a particle swarm optimizer to solve the variable weighting problem in subspace clustering of high-dimensional data. Many subspace clustering algorithms fail to yield good cluster quality because they do not employ an efficient search strategy. In this paper, we are interested in soft subspace clustering and design a suitable weighting k-means objective function, on which a change of variable weights is exponentially reflected. We transform the original constrained variable weighting problem into a problem with bound constraints using a potential solution coding method and we develop a particle swarm optimizer to minimize the objective function in order to obtain global optima to the variable weighting problem in clustering. Our experimental results on synthetic datasets show that the proposed algorithm greatly improves cluster quality. In addition, the result of the new algorithm is much less dependent on the initial cluster centroids.","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128282828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
The honey bee foraging behavior syndrome: quantifying the response threshold model of division of labor 蜜蜂觅食行为综合征:量化分工反应阈值模型
IEEE Symposium on Swarm Intelligence Pub Date : 2005-06-08 DOI: 10.1109/SIS.2005.1501595
T. Pankiw
{"title":"The honey bee foraging behavior syndrome: quantifying the response threshold model of division of labor","authors":"T. Pankiw","doi":"10.1109/SIS.2005.1501595","DOIUrl":"https://doi.org/10.1109/SIS.2005.1501595","url":null,"abstract":"This review focuses on how honey bee responsiveness to sucrose is related to a correlated suite of foraging traits, called the honey bee foraging behavior syndrome. Behavior syndromes are reminiscent of human personalities. In general, the honey bee foraging syndrome is characterized as bees with low sucrose response thresholds begin foraging at younger ages than bees with high sucrose response thresholds. Sucrose response threshold in young pre-foraging aged bees predicts forage choice 2 to 3 weeks later. The relationship is such that bees with low sucrose response thresholds forage for resources with no or low sugar rewards such as water and pollen. Bees with higher sucrose response thresholds forage for nectar and return with nectar containing sugar concentrations that are positively correlated with individual sucrose response threshold. The honey bee provides one of the best studied cases of a natural behavioral syndrome from genes to behavior, having great potential for understanding social evolution, and the organization of a complex system.","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2005-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134161415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Neural Network for the Statistical Process Control of HVAC Systems in Passenger Rail Vehicles 神经网络在客运轨道车辆HVAC系统统计过程控制中的应用
IEEE Symposium on Swarm Intelligence Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-16609-9_23
F. Ambrosino, G. Giannini, A. Lepore, B. Palumbo, Gianluca Sposito
{"title":"Neural Network for the Statistical Process Control of HVAC Systems in Passenger Rail Vehicles","authors":"F. Ambrosino, G. Giannini, A. Lepore, B. Palumbo, Gianluca Sposito","doi":"10.1007/978-3-031-16609-9_23","DOIUrl":"https://doi.org/10.1007/978-3-031-16609-9_23","url":null,"abstract":"","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123048904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detecting States of Distress in Financial Markets: The Case of the Italian Sovereign Debt 侦测金融市场的危机状态:意大利主权债务的案例
IEEE Symposium on Swarm Intelligence Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-16609-9_13
M. Flora, R. Renò
{"title":"Detecting States of Distress in Financial Markets: The Case of the Italian Sovereign Debt","authors":"M. Flora, R. Renò","doi":"10.1007/978-3-031-16609-9_13","DOIUrl":"https://doi.org/10.1007/978-3-031-16609-9_13","url":null,"abstract":"","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116196718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatially Balanced Indirect Sampling to Estimate the Coverage of the Agricultural Census 空间平衡间接抽样估算农业普查覆盖范围
IEEE Symposium on Swarm Intelligence Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-16609-9_27
F. Piersimoni, Francesco Pantalone, R. Benedetti
{"title":"Spatially Balanced Indirect Sampling to Estimate the Coverage of the Agricultural Census","authors":"F. Piersimoni, Francesco Pantalone, R. Benedetti","doi":"10.1007/978-3-031-16609-9_27","DOIUrl":"https://doi.org/10.1007/978-3-031-16609-9_27","url":null,"abstract":"","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127423648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive COVID-19 Screening of a Subpopulation 某亚群的适应性COVID-19筛查
IEEE Symposium on Swarm Intelligence Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-16609-9_8
Fulvio Di Stefano, M. Gasparini
{"title":"Adaptive COVID-19 Screening of a Subpopulation","authors":"Fulvio Di Stefano, M. Gasparini","doi":"10.1007/978-3-031-16609-9_8","DOIUrl":"https://doi.org/10.1007/978-3-031-16609-9_8","url":null,"abstract":"","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116911896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Graphical Approach for the Selection of the Number of Clusters in the Spectral Clustering Algorithm 光谱聚类算法中聚类数选择的一种图形化方法
IEEE Symposium on Swarm Intelligence Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-16609-9_3
C. D. Nuzzo, S. Ingrassia
{"title":"A Graphical Approach for the Selection of the Number of Clusters in the Spectral Clustering Algorithm","authors":"C. D. Nuzzo, S. Ingrassia","doi":"10.1007/978-3-031-16609-9_3","DOIUrl":"https://doi.org/10.1007/978-3-031-16609-9_3","url":null,"abstract":"","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116435603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Population Size Estimation by Repeated Identifications of Units. A Bayesian Semi-parametric Mixture Model Approach 用重复辨识的方法估计种群规模。一种贝叶斯半参数混合模型方法
IEEE Symposium on Swarm Intelligence Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-16609-9_25
T. Tuoto, Davide Di Cecco, A. Tancredi
{"title":"Population Size Estimation by Repeated Identifications of Units. A Bayesian Semi-parametric Mixture Model Approach","authors":"T. Tuoto, Davide Di Cecco, A. Tancredi","doi":"10.1007/978-3-031-16609-9_25","DOIUrl":"https://doi.org/10.1007/978-3-031-16609-9_25","url":null,"abstract":"","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129959899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Citizen Data and Citizen Science: A Challenge for Official Statistics 公民数据与公民科学:对官方统计的挑战
IEEE Symposium on Swarm Intelligence Pub Date : 1900-01-01 DOI: 10.1007/978-3-031-16609-9_12
M. Pratesi
{"title":"Citizen Data and Citizen Science: A Challenge for Official Statistics","authors":"M. Pratesi","doi":"10.1007/978-3-031-16609-9_12","DOIUrl":"https://doi.org/10.1007/978-3-031-16609-9_12","url":null,"abstract":"","PeriodicalId":326240,"journal":{"name":"IEEE Symposium on Swarm Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130669482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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