| 書(shū)目名稱 | Learning Classifier Systems |
| 副標(biāo)題 | International Worksh |
| 編輯 | Tim Kovacs,Xavier Llorà,Stewart W. Wilson |
| 視頻video | http://file.papertrans.cn/583/582707/582707.mp4 |
| 叢書(shū)名稱 | Lecture Notes in Computer Science |
| 圖書(shū)封面 |  |
| 描述 | The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi?er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, hosted these three editions. The topics presented in this volume summarize the wide spectrum of interests of the Learning Classi?er Systems (LCS) community. The topics range from theoretical analysis of mechanisms to practical cons- eration for successful application of such techniques to everyday data-mining tasks. When we started editing this volume, we faced the choice of organizing the contents in a purely chronologicalfashion or as a sequence of related topics that help walk the reader across the di?erent areas. In the end we decided to or- nize the contents by area, breaking the time-line a little. This is not a simple endeavor as we can organize the material using multiple criteria. The tax- omy below is our humble e?ort to provide a coherent grouping. Needless to say, some works may fall in more than one category. The four areas are as follows: Knowledge representation. These cha |
| 出版日期 | Conference proceedings 2007 |
| 關(guān)鍵詞 | Fuzzy; adaptive exploration rate; algorithmic learning; algorithms; complexity; constraints; data mining; d |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-71231-2 |
| isbn_softcover | 978-3-540-71230-5 |
| isbn_ebook | 978-3-540-71231-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2007 |
|Archiver|手機(jī)版|小黑屋|
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