Search Results - "probability theory"
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MAT263 – Probability Theory
Published 2022“…Second Semester Examination 2021/2022 Academic Session July 2022 MAT263 – Probability Theory Duration : 2 hours…”
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MAT 263 - Probability Theory November 2006
Published 2006“…UNIVERSITI SAINS MALAYSIA First Semester Examination Academic Session 2006/2007 October/November 2006 MAT 263 - Probability Theory [Teori Kebarangkalian] Duration : 3 hours [Masa : 3 jam] Please check that this examination paper consists of EIGHT pages of printed material before you begin the examination. …”
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MAT263 - Teori Kebarangkalian (Probability Theory)
Published 2019“…Second Semester Examination 2018 / 2019 Academic Session June 2019 MAT263 - Teori Kebarangkalian (Probability Theory)…”
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Probability theory and application of item response theory
Published 2007“…There are four strong assumptions about the probability theory of item response theory such as the dimensionality of the latent space, local independence theory, the item characteristics curves and the speededness of the test. …”
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Probability theory and application of item response theory
Published 2008“…There are tour strong assumptions about the probability theory of item response theory such as the dimensionality of the latent space. local independence theory. the item characteristics curves and the speededncss of the test. …”
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MGM 562- Probability Theory (April/May 2006)
Published 2006“…UNIVERSITI SAINS MALAYSIA Second Semester Examination Academic Session 2005/2006 April/May 2006 MGM 562- Probability Theory [Teori Kebarangkalian] Duration : 3 hours [Masa : 3 jam] Please check that this examination paper consists of FOUR pages of printed material before you begin the examination. …”
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MGM562 – Probability Theory (Teori Kebarangkalian)-Disember 2019
Published 2019“…Second Semester Examination 2019/2020 Academic Session December 2019 / January 2020 MGM562 – Probability Theory (Teori Kebarangkalian)…”
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A method to enrich domain ontology using synonym and probability theory
Published 2016“…The proposed method suggests the appropriate or the most likely term for an uncertain subject or object of a sentence using the probability theory. In addition, the method can extract the relations between concepts (i.e. subject and object) that appear not only in a single sentence, but also in different sentences by using a synonym of the predicates. …”
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