| 書目名稱 | Multiple Classifier Systems | | 副標(biāo)題 | 5th International Wo | | 編輯 | Fabio Roli,Josef Kittler,Terry Windeatt | | 視頻video | http://file.papertrans.cn/641/640942/640942.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | The fusion of di?erent information sourcesis a persistent and intriguing issue. It hasbeenaddressedforcenturiesinvariousdisciplines,includingpoliticalscience, probability and statistics, system reliability assessment, computer science, and distributed detection in communications. Early seminal work on fusion was c- ried out by pioneers such as Laplace and von Neumann. More recently, research activities in information fusion have focused on pattern recognition. During the 1990s,classi?erfusionschemes,especiallyattheso-calleddecision-level,emerged under a plethora of di?erent names in various scienti?c communities, including machine learning, neural networks, pattern recognition, and statistics. The d- ferent nomenclatures introduced by these communities re?ected their di?erent perspectives and cultural backgrounds as well as the absence of common forums and the poor dissemination of the most important results. In 1999, the ?rst workshop on multiple classi?er systems was organized with the main goal of creating a common international forum to promote the diss- ination of the results achieved in the diverse communities and the adoption of a common terminology, thus giving the di?erent | | 出版日期 | Conference proceedings 2004 | | 關(guān)鍵詞 | Bagging; Boosting; Performance; Random Forest; classification; classifier systems; cognition; learning; lear | | 版次 | 1 | | doi | https://doi.org/10.1007/b98227 | | isbn_softcover | 978-3-540-22144-9 | | isbn_ebook | 978-3-540-25966-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2004 |
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