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Inductive logic programming

Inductive logic programming (ILP) is not a pharmacophore generation method by itself, but a subfield of the machine learning approach. In this field, other methods such as hidden Markov models, Bayesian learning, decision trees and logic programs are available. [Pg.44]

King, R.D. and Srinivasan, A., Prediction of rodent carcinogenicity biossays from molecular structure using inductive logic programming, Environ. Health Perspect., 104 (Suppl. 5), 1031-1040, 1996. [Pg.200]

Cannon, E.O., Amini, A., Bender, A., Sternberg, M.J. E., Muggleton, S.H., Glen, R.C. and Mitchell, J.B. O. (2007) Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. [Pg.1003]

King RD, Srinivasan A. The discovery of indicator variables for QSAR using inductive logic programming. J Comput-Aided Mol Des 1997 11 571-580. [Pg.828]

Inductive Logic Programming (ILP) is a distinctly different modelling method from all others described here. Most of these applications rely on attribute-based learning. However, attribute-based learning is limited to non-relational descriptions of objects in the sense that the learned descriptions... [Pg.273]

In terms of alternative techniques to the MSG Method, there is of course the whole literature on empirical learning, and inductive logic programming (ILP), as surveyed in Chapter 3. But it should be noted that the MSG Method only aims at the synthesis of a sub-class of concept descriptions, namely non-recursive algorithms that are implemented in terms of the =/2 primitive only, and whose intended relation, though unknown as a whole, is however known to feature a given dataflow pattern between... [Pg.143]

F. Bergadano and D. Gunetti. Inductive synthesis of logic programs and inductive logic programming. In [Deville 94], pp. 45-56. [Pg.220]

L. De Raedt. Interactive Theory Revision An Inductive Logic Programming Approach. Academic Press, 1992. [Pg.223]

N. Lavrat and S. Dferoski. Inductive Logic Programming Techniques and Applications. Ellis Horwood (Simon Schuster), 1994. [Pg.229]

S. Muggleton. Inductive logic programming. New Generation Computing 8(4) 295-317,1991. Also in [Muggleton 92], pp. 3-27. [Pg.230]

S. Muggleton (ed). Inductive Logic Programming. Academic Press, 1992. [Muggleton 95]... [Pg.230]

S. Muggleton. Foundations of Inductive Logic Programming. Prentice Hall, 1995. (Forthcoming.)... [Pg.230]

C. Sammut. The origins of Inductive Logic Programming A prehistoric tale. In Proc. ofILP 93 (TRIJS-DP-6707, J. Stefan Inst., Slovenia), pp. 127-147. [Sammut and Banerji 86]... [Pg.232]

Figure 5.1. Main data mining approaches and supporting technologies (abbreviations ILP — inductive logic programming, MLPs — multilayer perceptrons, RBF — radial basis functions networks, ARTMAP — adaptive resonance theory mapping networks, DOOT — distributed object-oriented technologies, CORBA — common object request broker, RMI — remote method invocation). Figure 5.1. Main data mining approaches and supporting technologies (abbreviations ILP — inductive logic programming, MLPs — multilayer perceptrons, RBF — radial basis functions networks, ARTMAP — adaptive resonance theory mapping networks, DOOT — distributed object-oriented technologies, CORBA — common object request broker, RMI — remote method invocation).

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