W. Van Laer, H. Blockeel, and L. De Raedt. Induct- ive constraint logic and the mutagenesis problem. In J.-J. Ch. Meyer and L.C. van der Gaag, editors, Proceedings of the Eighth Dutch Conference on Artificial Intelligence, pages 265-276, 1996. Home/Search Document Details and Download
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From Propositional to First Order Logic in Machine Learning and.. - Van Laer (2002) (1 citation) (Correct)
....we come back to this issue and have a look at the efficient execution of ILP systems. In that same chapter, we introduce the Extended Input Interface which allows to connect to a database through an ODBC connection. Bibliographical note Some parts of Section 5.2 and Section 5. 3 are based on [Van Laer et al. 1996b; Van Laer et al. 1997] 5.2 Handling numerical data Many symbolic learning systems have difficulties when faced with numerical data. These problems affect the efficiency of learning and the accuracy of the learned theory. 93 CHAPTER 5. EXTENSIONS AND EXTRA FEATURES For instance, let us look ....
....of ICL by other researchers are discussed in Section 6.6: firstly as a tool for the identification of cardiac 115 arrhythmias; and secondly as part of Abductive Concept Learning. At the end, we discuss some of the results and conclude. Bibliographical note This chapter is in part based on [Van Laer et al. 1996a; Van Laer et al. 1997; D2eroski et al. 1998c; Roberts et al. 1998; D2eroski et al. 1999; Van Laer and De Raedt, 2001a] 6.2 Experimental settings Unless stated otherwise, the experiments have been performed with ICL version 4.2, implemented in MASTERPROLOG (formerly ProLog by BIM) We used ....
W. Van Laer, H. Blockeel, and L. De Raedt. Induct- ive constraint logic and the mutagenesis problem. In J.-J. Ch. Meyer and L.C. van der Gaag, editors, Proceedings of the Eighth Dutch Conference on Artificial Intelligence, pages 265-276, 1996.
Multi-class problems and discretization in ICL (Extended .. - Van Laer, Dzeroski, De.. (1996) (Correct)
....for handling more than two classes is given (based on some ideas from CN2) Finally, we show how to tackle problems with continuous values by adapting discretization techniques from attribute value learners. 1 Introduction Recently, a novel ILP system called ICL was developed in Leuven (see [ 8; 1 ] The system does not employ the traditional ILP semantics as proposed by Plotkin, in which examples are clauses that are (resp. are not) entailed by the target theory, but rather the view that examples are logical interpretations that are true (resp. false) in the unknown target theory. This ....
....in ICL. Though we do not report on any experiments in this short note, it is our intention to report on such experiments at the workshop. Currently, we are carrying out experiments on the mutagenesis data. 2 Inductive Constraint Logic: overview An overview of ICL can be found in [ 8 ] and [ 1 ] Here, we shortly describe the framework of ICL and expand on some practical aspects. 2.1 Framework We will use some notions of first order logic and model theory (for an introduction, see [ 12; 11 ] Definitions of the concepts used here can be found in [ 8 ] ICL is a classification ....
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H. Blockeel, W. Van Laer, and L. De Raedt. Inductive constraint logic and the mutagenesis problem. In Proceedings of the 5th Belgian-Dutch Conference on Machine Learning (BENELEARN '95), 1995.
A Methodology for First Order Learning: A Case Study - Van Laer, De Raedt (1998) (1 citation) Self-citation (Van laer De raedt) (Correct)
....is used. Also a significance test 2 as in CN2 is included, based on the likelihood ratio statistic. 3 Evaluation ICL is an up and running system implemented in ProLog by BIM. It s easy to use and efficient. It has been used successfully for several experiments like on the mutagenesis data in [19]. Results of this experiment can be found in Table 1. Notice the efficient timings for ICL which are much better than these of Progol. Moreover, the accuracies of ICL w.r.t. Progol are comparable (or even better) Besides relational problems, we also tried ICL on a propositional problem. As ....
W. Van Laer, H. Blockeel, and L. De Raedt. Inductive constraint logic and the mutagenesis problem. In J.-J. Ch. Meyer and L.C. van der Gaag, editors, Proceedings of the Eighth Dutch Conference on Artificial Intelligence, pages 265--276, 1996.
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