| Name : R-SAutomata
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:03:28
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| Group : Development/Libraries/Other
| Source RPM : R-SAutomata-0.1.0-lp153.2.13.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
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| Summary : Inference and Learning in Stochastic Automata
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Description :
Machine learning provides algorithms that can learn from data and make
inferences or predictions. Stochastic automata is a class of
input/output devices which can model components. This work provides
implementation an inference algorithm for stochastic automata which is
similar to the Viterbi algorithm. Moreover, we specify a learning
algorithm using the expectation-maximization technique and provide a
more efficient implementation of the Baum-Welch algorithm for
stochastic automata. This work is based on Inference and learning in
stochastic automata was by Karl-Heinz Zimmermann(2017)
< doi:10.12732/ijpam.v115i3.15>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
