| dbo:abstract |
Probabilistic Soft Logic (PSL) is a statistical relational learning (SRL) framework for modeling probabilistic and relational domains.It is applicable to a variety of machine learning problems, such as collective classification, entity resolution, link prediction, and ontology alignment.PSL combines two tools: first-order logic, with its ability to succinctly represent complex phenomena, and probabilistic graphical models, which capture the uncertainty and incompleteness inherent in real-world knowledge.More specifically, PSL uses "soft" logic as its logical component and Markov random fields as its statistical model.PSL provides sophisticated inference techniques for finding the most likely answer (i.e. the maximum a posteriori (MAP) state).The "softening" of the logical formulas makes inference a polynomial time operation rather than an NP-hard operation. (en) Probabilistic soft logic (PSL)は、関係するドメインの中での集合的な、確率的理由づけのためのSRLフレームワーク。PSLは[0,1]の間の値をとるソフト真理変数に関する確率変数のグラフィカルモデルのためのテンプレート言語として一階述語論理を用いる。 (ja) |
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dbr:Linux dbr:MacOS dbr:Windows |
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https://linqs.soe.ucsc.edu/ |
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PSL (en) |
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dbr:Java_(programming_language) |
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dbr:Framework |
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| rdfs:comment |
Probabilistic soft logic (PSL)は、関係するドメインの中での集合的な、確率的理由づけのためのSRLフレームワーク。PSLは[0,1]の間の値をとるソフト真理変数に関する確率変数のグラフィカルモデルのためのテンプレート言語として一階述語論理を用いる。 (ja) Probabilistic Soft Logic (PSL) is a statistical relational learning (SRL) framework for modeling probabilistic and relational domains.It is applicable to a variety of machine learning problems, such as collective classification, entity resolution, link prediction, and ontology alignment.PSL combines two tools: first-order logic, with its ability to succinctly represent complex phenomena, and probabilistic graphical models, which capture the uncertainty and incompleteness inherent in real-world knowledge.More specifically, PSL uses "soft" logic as its logical component and Markov random fields as its statistical model.PSL provides sophisticated inference techniques for finding the most likely answer (i.e. the maximum a posteriori (MAP) state).The "softening" of the logical formulas make (en) |
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Probabilstic soft logic (ja) Probabilistic soft logic (en) |
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