| dbo:abstract |
Markov-Logik-Netze wenden probabilistische graphische Modelle auf die Prädikatenlogik erster Stufe an und ermöglichen so probabilistische Inferenz. Sie wurden 2006 von Matthew Richardson und Pedro Domingos vorgestellt. In einem Markov-Logik-Netz werden Schlussfolgerungen durch die Anwendung des MCMC-Verfahrens gemacht. (de) A Markov logic network (MLN) is a probabilistic logic which applies the ideas of a Markov network to first-order logic, enabling uncertain inference. Markov logic networks generalize first-order logic, in the sense that, in a certain limit, all unsatisfiable statements have a probability of zero, and all tautologies have probability one. (en) Un champ aléatoire de Markov logique est une logique probabiliste qui combine les idées d'un champ aléatoire de Markov avec la logique du premier ordre. (fr) Uma rede lógica de Markov (MLN) é uma lógica probabilística que aplica as ideias de redes de Markov à lógica de primeira ordem, possibilitando inferência incerta. Redes lógicas de Markov generalizam a lógica de primeira ordem, no sentido de que, até certo ponto, todas as sentenças insatisfatíveis têm uma probabilidade igual a zero, e todas as tautologias têm probabilidade igual a um. (pt) 所谓马尔可夫逻辑网（Markov logic network (MLN)），就是由一阶逻辑公式及其对应的权值组成的二元组集合。马尔可夫逻辑网络的基本思想是将一阶逻辑的限制放松，即一个事件违反公式越多，其发生概率越小，但未必为0。 (zh) |
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Markov-Logik-Netze wenden probabilistische graphische Modelle auf die Prädikatenlogik erster Stufe an und ermöglichen so probabilistische Inferenz. Sie wurden 2006 von Matthew Richardson und Pedro Domingos vorgestellt. In einem Markov-Logik-Netz werden Schlussfolgerungen durch die Anwendung des MCMC-Verfahrens gemacht. (de) A Markov logic network (MLN) is a probabilistic logic which applies the ideas of a Markov network to first-order logic, enabling uncertain inference. Markov logic networks generalize first-order logic, in the sense that, in a certain limit, all unsatisfiable statements have a probability of zero, and all tautologies have probability one. (en) Un champ aléatoire de Markov logique est une logique probabiliste qui combine les idées d'un champ aléatoire de Markov avec la logique du premier ordre. (fr) Uma rede lógica de Markov (MLN) é uma lógica probabilística que aplica as ideias de redes de Markov à lógica de primeira ordem, possibilitando inferência incerta. Redes lógicas de Markov generalizam a lógica de primeira ordem, no sentido de que, até certo ponto, todas as sentenças insatisfatíveis têm uma probabilidade igual a zero, e todas as tautologias têm probabilidade igual a um. (pt) 所谓马尔可夫逻辑网（Markov logic network (MLN)），就是由一阶逻辑公式及其对应的权值组成的二元组集合。马尔可夫逻辑网络的基本思想是将一阶逻辑的限制放松，即一个事件违反公式越多，其发生概率越小，但未必为0。 (zh) |
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Markov-Logik-Netz (de) Champ aléatoire de Markov logique (fr) Markov logic network (en) Rede lógica de Markov (pt) 马尔可夫逻辑网络 (zh) |
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