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Asian Conference on Machine Learning最新文献

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Machine Learning and Ecosystem Informatics: Challenges and Opportunities 机器学习和生态信息学:挑战与机遇
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_1
Thomas G. Dietterich
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引用次数: 3
Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction 协同预测的加权非负矩阵协同三因子分解
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_30
Jiho Yoo, Seungjin Choi
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引用次数: 44
A Reformulation of Support Vector Machines for General Confidence Functions 一般置信度函数的支持向量机的重新表述
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_10
Yuhong Guo, Dale Schuurmans
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引用次数: 3
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions 使用期望奖励分布的扑克蒙特卡罗树搜索
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_28
Guy Van den Broeck, K. Driessens, J. Ramon
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引用次数: 73
Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting 基于相似度的实例加权处理同一领域的分布变化
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_27
J. Son, Hyun-Je Song, Seong-Bae Park, Se-Young Park
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引用次数: 4
Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble 利用动态分类器集成挖掘多标签概念漂移数据流
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_24
Wei Qu, Yang Zhang, Junping Zhu, Qiang Qiu
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引用次数: 46
Conditional Density Estimation with Class Probability Estimators 类概率估计的条件密度估计
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_7
E. Frank, R. Bouckaert
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引用次数: 35
Improving Adaptive Bagging Methods for Evolving Data Streams 改进演化数据流的自适应Bagging方法
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_4
A. Bifet, G. Holmes, B. Pfahringer, Ricard Gavaldà
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引用次数: 72
A Hierarchical Face Recognition Algorithm 一种分层人脸识别算法
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_5
R. Bouckaert
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引用次数: 3
Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis 学习连续时间信息扩散模型用于社会行为数据分析
Asian Conference on Machine Learning
Pub Date : 2009-11-03 DOI: 10.1007/978-3-642-05224-8_25
Kazumi Saito, M. Kimura, K. Ohara, H. Motoda
{"title":"Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis","authors":"Kazumi Saito, M. Kimura, K. Ohara, H. Motoda","doi":"10.1007/978-3-642-05224-8_25","DOIUrl":"https://doi.org/10.1007/978-3-642-05224-8_25","url":null,"abstract":"","PeriodicalId":119756,"journal":{"name":"Asian Conference on Machine Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121553308","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: 151
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