While constraints are ubiquitous in artificial intelligence andconstraints are also commonly used in machine learning anddata mining, the problem of learning constraints from exam-ples has received less attention. In this paper, we discuss theproblem of constraint learning in detail, indicate some subtledifferences with standard machine learning problems, sketchsome applications and summarize the state-of-the-art.
Learning Constraints from Examples / De Raedt, Luc; Passerini, Andrea; Teso, Stefano. - (2018), pp. 7965-7970. (Intervento presentato al convegno AAAI 2018 tenutosi a New Orleans, LA nel 2nd-7th February 2018).
Learning Constraints from Examples
Andrea Passerini;Stefano Teso
2018-01-01
Abstract
While constraints are ubiquitous in artificial intelligence andconstraints are also commonly used in machine learning anddata mining, the problem of learning constraints from exam-ples has received less attention. In this paper, we discuss theproblem of constraint learning in detail, indicate some subtledifferences with standard machine learning problems, sketchsome applications and summarize the state-of-the-art.File in questo prodotto:
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