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Advancing health policy and systems research and analysis: new frontiers, renewed relevance. [PDF]
Kwamie A +12 more
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Strengthening Culturally Responsive Mental Health Supports for Crises Preparedness: Lessons From Indigenous Educator's Experiences During COVID-19 Pandemic. [PDF]
Kannan P, Bhawra J, Katapally TR.
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Integrating Large Language Models into Traffic Systems: Integration Levels, Capability Boundaries, and an Information-Theoretic Perspective. [PDF]
Tu W, Li J, Xiao F, Wang X, Lu Y.
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Learning Environments and Brain Health: A Neuroeducational Perspective. [PDF]
Ahmed S.
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Knowledge-Based Recommendation Systems
International Journal of Intelligent Information Technologies, 2014Knowledge-Base Recommendation (or Recommender) Systems (KBRS) provide the user with advice about a decision to make or an action to take. KBRS rely on knowledge provided by human experts, encoded in the system and applied to input data, in order to generate recommendations. This survey overviews the main ideas characterizing a KBRS.
Bouraga, Sarah +3 more
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Science, 1986
First developed two decades ago, knowledge-based systems have seen widespread application in recent years. While performance has been a strong focus of attention, building such systems has also expanded our conception of a computer program from a black box providing an answer to something capable of explaining its answers, acquiring new knowledge, and ...
openaire +3 more sources
First developed two decades ago, knowledge-based systems have seen widespread application in recent years. While performance has been a strong focus of attention, building such systems has also expanded our conception of a computer program from a black box providing an answer to something capable of explaining its answers, acquiring new knowledge, and ...
openaire +3 more sources
1998
Efforts to develop knowledge-based systems have now been pursued for over two decades. Languages, inference methods, architectures, and tools have reached a certain standard and have led to interesting and successful applications. Nevertheless, there is still some mystery and confusion among the public about this area. The purpose of this article is to
+4 more sources
Efforts to develop knowledge-based systems have now been pursued for over two decades. Languages, inference methods, architectures, and tools have reached a certain standard and have led to interesting and successful applications. Nevertheless, there is still some mystery and confusion among the public about this area. The purpose of this article is to
+4 more sources
2010
Knowledge-Based System (KBS), a branch research area of AI, has been widely used in interpretation, prediction, diagnosis, debugging, design, planning, monitoring, repair, instruction, and control (Stefik et al., 1982) since it emerged in 1960s. KBS has been recognized as a promising paradigm for the next generation manufacturing systems and there is ...
Zude Zhou, Huaiqing Wang, Ping Lou
openaire +1 more source
Knowledge-Based System (KBS), a branch research area of AI, has been widely used in interpretation, prediction, diagnosis, debugging, design, planning, monitoring, repair, instruction, and control (Stefik et al., 1982) since it emerged in 1960s. KBS has been recognized as a promising paradigm for the next generation manufacturing systems and there is ...
Zude Zhou, Huaiqing Wang, Ping Lou
openaire +1 more source

