• Learning classifier systems

    Learning classifier systems

    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 ...

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Kode Buku : 220117
Kode Klasifikasi : 004.1
Judul Buku : Learning classifier systems
Edisi : 1
Penulis : Bacardit, Jaume
Penerbit : Springer
Bahasa : Inggris
Tahun : 2010
ISBN : 978-3-642-17507-07
Tajuk Subjek : Sistem,Classifier Systems
Deskripsi : x, 197 hlm.; 28 cm
Eksemplar : 3
Stok : 3
Petugas Input : Suagam. S.Kom
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 chapters elaborate on the knowledge r- resentations used in LCS. Knowledge representation is a key issue in any learning system and has implications for what it is possible to learn and what mechanisms shouldbe used. Four chapters analyze di?erent knowledge representations and the LCS methods used to manipulate them.
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