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제목    UnBBayes: a Java Framework for
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작성자 besko 작성일 19-05-20 16:20:55 조회 197
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- 첨부파일 :
UnBBayes-aJavaFrameworkforProbabilisticModelsinAI(1).pdf (크기: 4888492 bytes)

  

 

 

    In the past few years, the way software development is performed in research and academia has changed
dramatically. One of the major driving forces causing this phenomenon is the growing complexity of Artificial Intelligence
(AI) systems as they face increasingly demanding requirements for real-world application development.
As usability (ease of use), productivity (engineering efficiency), portability (multi-platform compatibility) and interoperability
(ability to operate harmonically) become a concern in developing AI systems, Java™ stands out as
the programming language of choice in many AI applications due to its advantages to complex systems design,
such as its effective implementation of the object-oriented paradigm to develop large, portable, GUI1-enabled
software projects quickly, as well as its natural support to the ubiquitous development of web technologies for
information exchange.

 

 

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이전글 MEBN: A language for first-order Bayesian knowledge bas
다음글 OPEN 축하합니다 !
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