While constraints are ubiquitous in artificial intelligence and constraints are also commonly used in machine learning and data mining, the problem of learning constraints from examples has received less attention. In this paper, we discuss the problem of constraint learning in detail, indicate some subtle differences with standard machine learning problems, sketch some applications and summarize the state-of-the-art.
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. ( 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 New Orleans, LA 2nd-7th February 2018).
Learning Constraints from Examples
Andrea Passerini;Stefano Teso
2018-01-01
Abstract
While constraints are ubiquitous in artificial intelligence and constraints are also commonly used in machine learning and data mining, the problem of learning constraints from examples has received less attention. In this paper, we discuss the problem of constraint learning in detail, indicate some subtle differences with standard machine learning problems, sketch some applications and summarize the state-of-the-art.| File | Dimensione | Formato | |
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