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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
588 条 记 录,以下是351-360 订阅
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Conceptual analysis of big data using ontologies and EER  1st
Conceptual analysis of big data using ontologies and EER
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1st international workshop on machine learning, Optimization, and Big data, MOD 2015
作者: Jitkajornwanich, Kulsawasd Elmasri, Ramez Ministry of Science and Technology of Thailand 120 The Government Complex Chaeng Wattana Road Lak Si Bangkok10210 Thailand Department of Computer Science and Engineering The University of Texas at Arlington 701 S Nedderman Dr ArlingtonTX76019 United States
Large amounts of "big data" are generated every day, many in a "raw" format that is difficult to analyze and mine. This data contains potential hidden meaningful concepts, but much of the data is s... 详细信息
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Auxiliary Information Regularized machine for Multiple Modality Feature learning  24
Auxiliary Information Regularized Machine for Multiple Modal...
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1st international workshop on Social Influence Analysis / 24th international Joint Conference on Artificial Intelligence (IJCAI)
作者: Yang, Yang Ye, Han-Jia Zhan, De-Chuan Jiang, Yuan Nanjing Univ Natl Key Lab Novel Software Technol Collaborat Innovat Ctr Novel Software Technol & I Nanjing Jiangsu Peoples R China
In real world applications, data are often with multiple modalities. Previous works assumed that each modality contains sufficient information for target and can be treated with equal importance. However, it is often ...
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1st international Conference on Soft Computing in data Science, SCDS 2015
1st International Conference on Soft Computing in Data Scien...
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1st international Conference on Soft Computing in data Science, SCDS 2015
The proceedings contain 25 papers. The special focus in this conference is on data mining and Fuzzy Computing. The topics include: An improved particle swarm optimization via velocity-based reinitialization for featur...
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Condense Mixed Convexity and optimization with an application in data service optimization  1st
Condense Mixed Convexity and optimization with an applicatio...
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1st international workshop on machine learning, Optimization, and Big data, MOD 2015
作者: Tokgöz, Emre Kumin, Hillel School of Engineering Quinnipiac University HamdenCT06518 United States School of Industrial and Systems Engineering University of Oklahoma NormanOK73071 United States
Elements of matrix theory are useful in exploring solutions for optimization, data mining, and big data problems. In particular, mixed integer programming is widely used in data based optimization research that uses m... 详细信息
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data clustering by particle swarm optimization with the focal particles  1st
Data clustering by particle swarm optimization with the foca...
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1st international workshop on machine learning, Optimization, and Big data, MOD 2015
作者: Küçükdeniz, Tarık Esnaf, Şakir Department of Industrial Engineering Istanbul University Istanbul Turkey
Clustering is an important technique in data mining. In unsupervised clustering, data is divided into several subsets (clusters) without any prior knowledge. Heuristic optimization based clustering algorithms tries to... 详细信息
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Intelligent Computing and Applications: Proceedings of the international Conference on ICA, 22-24 December 2014  1
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丛书名: Advances in Intelligent Systems and Computing 343
2015年
作者: Durbadal Mandal, Rajib Kar, Swagatam Das, Bijaya Ketan Panigrahi (eds.)
The idea of the 1st international Conference on Intelligent Computing and Applications (ICICA 2014) is to bring the Research Engineers, Scientists, Industrialists, Scholars and students together from in and around the...
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Defensibility-based Classification for Argument mining  14
Defensibility-based Classification for Argument Mining
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14th IEEE international Conference on data mining (IEEE ICDM)
作者: Kido, Hiroyuki Ohsawa, Yukio Univ Tokyo Sch Engn Bunkyo Ku 7-3-1 Hongo Tokyo 1138656 Japan
This paper shows a preliminary report regarding classification techniques based on argumentation theory in artificial intelligence. A classification problem is defined on a directed graph, i.e., an argumentation frame... 详细信息
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Advantage and Drawback of Support Vector machine Functionality  1
Advantage and Drawback of Support Vector Machine Functionali...
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1st international Conference on Computer, Communications, and Control Technology (I4CT)
作者: Karamizadeh, Sasan Abdullah, Shahidan M. Halimi, Mehran Shayan, Jafar Rajabi, Mohammad Javad UTM AIS Kuala Lumpur Malaysia
Support Vector machine(SVM) is one of the most efficient machine learning algorithms, which is mostly used for pattern recognition since its introduction in 1990s. SVMs vast variety of usage, such as face and speech r... 详细信息
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mining Users Playbacks History for Music Recommendations
Mining Users Playbacks History for Music Recommendations
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10th international Conference on machine learning and data mining (MLDM)
作者: Dzuba, Alexandr Bugaychenko, Dmitry St Petersburg State Univ Odnoklassniki LTD St Petersburg 199034 Russia
This paper presents a set of methods for the analysis of user activity and data preparation for the music recommender by the example of "Odnoklassniki"(1) social network. The history of actions is being anal... 详细信息
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2014 IEEE 1st international workshop on Artificial Intelligence for Requirements Engineering, AIRE 2014 - Proceedings
2014 IEEE 1st International Workshop on Artificial Intellige...
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2014 IEEE 1st international workshop on Artificial Intelligence for Requirements Engineering, AIRE 2014 - Proceedings
The proceedings contain 9 papers. The topics discussed include: pragmatic ambiguity detection in natural language requirements;weka meets TraceLab: toward convenient classification: machine learning for requirements e...
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