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Preface
2008
Annals of Mathematics and Artificial Intelligence
Probabilistic Relational Learning is a research area that brings together several previously separated lines of research. One line of research originates with early approaches to combine probabilistic graphical models with higher-level, logic-based representation languages. Originally mostly pursued for the purpose of knowledge representation and reasoning (and then called knowledge-based model construction), this line of research gained significant momentum when its focus shifted to machine
doi:10.1007/s10472-009-9131-z
fatcat:qpgckbzb6fhvjllssxivlwlsvq