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Knowledge structures in a knowledge base
Expert Systems, 2016AbstractRough set theory is a useful tool for dealing with imprecise knowledge. One of the advantages of rough set theory is the fact that an unknown target concept can be approximately characterized by existing knowledge structures in a knowledge base. This paper explores knowledge structures in a knowledge base.
Qingguo Li+3 more
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Collaborative Knowledge Base Embedding for Recommender Systems
Knowledge Discovery and Data Mining, 2016Among different recommendation techniques, collaborative filtering usually suffer from limited performance due to the sparsity of user-item interactions. To address the issues, auxiliary information is usually used to boost the performance.
Fuzheng Zhang+4 more
semanticscholar +1 more source
Psychological Reports, 2007
This study tested the distinction between knowledge-based choices and gambling decisions. Gambling decisions contain stated probabilities, and success depends on chance only. In knowledge-based decisions, in contrast, the probabilities are usually unknown and the outcomes of a choice depend on a person's ability or knowledge.
Manuel A Gussmack, Eduard Brandstätter
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This study tested the distinction between knowledge-based choices and gambling decisions. Gambling decisions contain stated probabilities, and success depends on chance only. In knowledge-based decisions, in contrast, the probabilities are usually unknown and the outcomes of a choice depend on a person's ability or knowledge.
Manuel A Gussmack, Eduard Brandstätter
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2006
Knowledge bases (KBs) must be able to capture a wide range of situations. One must be able to represent and answer questions regarding indefinite information where it is not clear that there is a unique answer to a question. One must also represent and answer questions about negative information. We discuss a powerful way to represent such information,
Grant, John, Parisi, Francesco
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Knowledge bases (KBs) must be able to capture a wide range of situations. One must be able to represent and answer questions regarding indefinite information where it is not clear that there is a unique answer to a question. One must also represent and answer questions about negative information. We discuss a powerful way to represent such information,
Grant, John, Parisi, Francesco
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Intelligence Based on Knowledge – Knowledge Based on Intelligence
Interdisciplinary Science Reviews, 1987AbstractThe title of this review indicates the fundamental difficulty of defining the difference between intelligence and knowledge. Here some of the basic differences and similarities are discussed, and by analogy with energy, the author postulates the existence of potential and kinetic intelligence. This leads him to the definition of intelligence as
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Incompleteness in knowledge bases
ACM SIGART Bulletin, 1980The first topic for discussion at the High Level Abstraction Workshop was What should be modelled? that is, what aspects of the world (slice of reality / enterprise) must be dealt with in a high level conceptual model. I would like to address this question from the point of view of incomplete knowledge bases.
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One Knowledge Base or Many Knowledge Pools? [PDF]
It is increasingly realized that knowledge is the most important resource and that learning is the most important process in the economy. Sometimes this is expressed by coining the current era as characterised by a ‘knowledge based economy'. But this concept might be misleading by indicating that there is one common knowledge base on which economic
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Middle leaders and middle leadership in schools: exploring the knowledge base (2003–2017)
School Leadership and Management, 2019The purpose of this article is to explore the development of the knowledge base on middle leadership in schools. Since the seminal reviews conducted by Bennett a contemporary scan only of the scholarly literature on middle leaders/leadership in schools ...
A. Harris+3 more
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Knowledge-Based Knowledge Elicitation
1989A method for using the advantages of domain-specific knowledge acquisition for a general purpose knowledge acquisition tool is introduced. To adapt the knowledge acquisition tool for a specific application and a specific problem solving strategy (e.g. heuristic classification, such diagnostic strategies as establish and refine), acquisition knowledge ...
Joachim DIEDERICH, Marc LINSTER
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