2008 Seventh International Conference on Machine Learning and Applications最新文献_第2页

Crayfish Robot Employing Flow Induced by Waving to Locate a Chemical Source 小龙虾机器人利用摆动诱导流来定位化学源

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.93

M. Ohashi, Y. Minagawa, Yuki Myoren, H. Ishida

引用次数: 4

Automated Analysis for Detecting Beams in Laser Wakefield Simulations 激光尾流场模拟中探测光束的自动分析

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.69

D. Sabino, O. Rübel, Prabhat, G. Weber, E. W. Bethel, C. Aragon, C. Geddes, E. Cormier-Michel, B. Hamann, P. Messmer, H. Hagen

{"title":"Automated Analysis for Detecting Beams in Laser Wakefield Simulations","authors":"D. Sabino, O. Rübel, Prabhat, G. Weber, E. W. Bethel, C. Aragon, C. Geddes, E. Cormier-Michel, B. Hamann, P. Messmer, H. Hagen","doi":"10.1109/ICMLA.2008.69","DOIUrl":"https://doi.org/10.1109/ICMLA.2008.69","url":null,"abstract":"Laser wakefield particle accelerators have shown the potential to generate electric fields thousands of times higher than those of conventional accelerators. The resulting extremely short particle acceleration distance could yield a potential new compact source of energetic electrons and radiation, with wide applications from medicine to physics. Physicists investigate laser-plasma internal dynamics by running particle-in-cell simulations; however, this generates a large dataset that requires time-consuming, manual inspection by experts in order to detect key features such as beam formation. This paper describes a framework to automate the data analysis and classification of simulation data. First, we propose a new method to identify locations with high density of particles in the space-time domain, based on maximum extremum point detection on the particle distribution. We analyze high density electron regions using a lifetime diagram by organizing and pruning the maximum extrema as nodes in a minimum spanning tree. Second, we partition the multivariate data using fuzzy clustering to detect time steps in a experiment that may contain a high quality electron beam. Finally, we combine results from fuzzy clustering and bunch lifetime analysis to estimate spatially confined beams. We demonstrate our algorithms successfully on four different simulation datasets.","PeriodicalId":381692,"journal":{"name":"2008 Seventh International Conference on Machine Learning and Applications","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116325093","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: 9

A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function 最小化损失函数的多类问题的监督决策规则

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.44

N. Jrad, E. Grall-Maës, P. Beauseroy

引用次数: 3

Classifier-Based Policy Representation 基于分类器的策略表示

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.31

Ioannis Rexakis, M. Lagoudakis

引用次数: 12

Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis 混合过程中具有先验知识的半监督IFA:在铁路设备诊断中的应用

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.72

E. Côme, Z. Cherfi, L. Oukhellou, P. Aknin

引用次数: 4

Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Network and Its Estimated Gradient 基于模糊规则的非线性离散自适应控制器仿真网络及其估计梯度

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.108

C. Treesatayapun, Vicente Parra‐Vega, F. J. R. Sanchez

引用次数: 0

Research of PU Text Semi-supervised Classification Based on Ontology Feature Extraction 基于本体特征提取的PU文本半监督分类研究

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.19

Na Luo, Fuyu Yuan, Wanli Zuo, Fengling He

引用次数: 1

Integration of Chemical and Visual Sensors for Identifying an Odor Source in Near Shore Ocean Conditions

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.43

Wei Li, Joseph E. Sutton, Y. Li

引用次数: 1

Network-Constrained Support Vector Machine for Classification 基于网络约束的支持向量机分类

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.55

Li Chen, J. Xuan, Y. Wang, R. Riggins, R. Clarke

{"title":"Network-Constrained Support Vector Machine for Classification","authors":"Li Chen, J. Xuan, Y. Wang, R. Riggins, R. Clarke","doi":"10.1109/ICMLA.2008.55","DOIUrl":"https://doi.org/10.1109/ICMLA.2008.55","url":null,"abstract":"One of the major goals in microarray data analysis is to identify biomarkers and build a classification model for future prediction. Many traditional statistical models, based on microarray data alone, often fail in identifying biologically meaningful genes, which should have synergistic effect on determine the clinical outcomes through some interactions rather than work individually. In this paper, we proposed a network-constrained support vector machine (nSVM) for classification by incorporating prior knowledge, which could be protein-protein interactions, protein-gene regulation relationships or pathways information. Specifically, we use Laplacian matrix to represent gene-gene interaction network to regularize the objective function of SVM, which imposes the smoothness of coefficients over the network. The experimental results on simulation and real microarray datasets demonstrate that our method could not only improve classification performance compared to conventional SVM, but more importantly, it could identify significant sub-networks belonging to several pathways which might be related to underlying mechanism associated with clinical outcomes.","PeriodicalId":381692,"journal":{"name":"2008 Seventh International Conference on Machine Learning and Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125323750","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

Machine Learning Techniques Applied to Dynamic Video Adapting 机器学习技术在动态视频适应中的应用

2008 Seventh International Conference on Machine Learning and Applications Pub Date : 2008-12-11 DOI: 10.1109/ICMLA.2008.42

Robson Eisinger, R. Romero, R. Goularte

引用次数: 5