دورية
Markov State Space Aggregation via the Information Bottleneck Method
العنوان: | Markov State Space Aggregation via the Information Bottleneck Method |
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المؤلفون: | Geiger, B. C. |
المصدر: | Schedae Informaticae. |
مصطلحات موضوعية: | Markov chains, state space aggregation, coarse-graining, information bottleneck, relative entropy, lumpability |
الوصف: | Consider the problem of approximating a Markov chain by another Markov chain with a smaller state space that is obtained by partitioning the original state space. An information-theoretic cost function is proposed that is based on the relative entropy rate between the original Markov chain and a Markov chain defined by the partition. The state space aggregation problem can be sub-optimally solved by using the information bottleneck method. |
نوع الوثيقة: | Article |
اللغة: | English |
الوصول الحر: | http://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-f7ff8260-9deb-4ecf-92cc-3415cd5b8a5cTest |
رقم الانضمام: | edsbzt.bwmeta1.element.baztech.f7ff8260.9deb.4ecf.92cc.3415cd5b8a5c |
قاعدة البيانات: | BazTech |
الوصف غير متاح. |