Matches in DBpedia 2016-04 for { ?s ?p "In information theory, Gibbs' inequality is a statement about the mathematical entropy of a discrete probability distribution. Several other bounds on the entropy of probability distributions are derived from Gibbs' inequality, including Fano's inequality.It was first presented by J. Willard Gibbs in the 19th century."@en }
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- Gibbs_inequality abstract "In information theory, Gibbs' inequality is a statement about the mathematical entropy of a discrete probability distribution. Several other bounds on the entropy of probability distributions are derived from Gibbs' inequality, including Fano's inequality.It was first presented by J. Willard Gibbs in the 19th century.".
- Q1425564 abstract "In information theory, Gibbs' inequality is a statement about the mathematical entropy of a discrete probability distribution. Several other bounds on the entropy of probability distributions are derived from Gibbs' inequality, including Fano's inequality.It was first presented by J. Willard Gibbs in the 19th century.".
- Gibbs_inequality comment "In information theory, Gibbs' inequality is a statement about the mathematical entropy of a discrete probability distribution. Several other bounds on the entropy of probability distributions are derived from Gibbs' inequality, including Fano's inequality.It was first presented by J. Willard Gibbs in the 19th century.".
- Q1425564 comment "In information theory, Gibbs' inequality is a statement about the mathematical entropy of a discrete probability distribution. Several other bounds on the entropy of probability distributions are derived from Gibbs' inequality, including Fano's inequality.It was first presented by J. Willard Gibbs in the 19th century.".