S.Dzeroski, N.Jacobs, M.Molina, C.Moure, S.Muggleton and W.V.Laer. Detecting Traffic Problems with ILP. Proceedings of the 8 International Workshop on Inductive Logic Programming, 1998. Home/Search Document Details and Download
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Approximate ILP Rules by Backpropagation Neural Network.. - Kijsirikul, Sinthupinyo (1999) (1 citation) (Correct)
....other methods. Furthermore, combining BNN with ILP yields the significant improvement and surpasses the other methods tested in our experiment. 1 Introduction Inductive Logic Programming (ILP) has been successfully applied to real world tasks, such as drug design[11] traffic problem detection [4], etc. This paper presents an application of ILP to the task of Thai printed character recognition. Although this task has been widely researched for many years and there are some commercial products of Thai character recognition software available, the accuracies are not yet as high as those of ....
S.Dzeroski, N.Jacobs, M.Molina, C.Moure, S.Muggleton and W.V.Laer. Detecting Traffic Problems with ILP. Proceedings of the 8 International Workshop on Inductive Logic Programming, 1998.
Multirelational Active Learning for Games - Castillo, Wrobel (Correct)
....2.6 30.8 Gene function 0.15 0.01 80.5 1.2 265.6 0.08 0.01 84.5 0.4 119.8 Table 1 Summary of the stability results obtained by Progol and Mio Dataset Literal based Macro based Avg. N S Avg. RT Avg. N S Avg. RT Chess 41.56 3.33s 21.55 2. 43s Minesweeper 1141.90 16h33m 69.90 51m Traffic [4] 3179.47 3h17m 543.41 29m Mutagenesis [19] 58905.4 7h45m 14299.5 1h46m Table 2 Comparison between the literal based and the macro based method clause . Macros are based on the fact that there are literals which do not have discriminative power but are necessary to introduce new variables, and ....
Saso Dzeroski, Nico Jacobs, Martin Molina, Carlos Moure, Stephen Muggleton, and Wim Van Laer. Detecting traffic problems with ILP. In D. Page, editor, Proc. of the 8th Int. Conference on ILP, volume 1446 of Lecture Notes in AI, pages 281--290, 1998. A safe square is a blank square which given the current board cannot contain a mine.
From Propositional to First Order Logic in Machine Learning and.. - Van Laer (2002) (1 citation) (Correct)
....upgrades the wellknown decision tree learner C4.5 [Quinlan, 1993; Quinlan, 1986a] WARMR [Dehaspe and De Raedt, 1997; Dehaspe, 1998] upgrades APRIORI [Agrawal et at. 1993; Agrawal et at. 1996] MACCENT [Dehaspe, 1997] upgrades the Maximum Entropy approach in [Berger et al. 1996] RRL [Deroski et al. 1998a; Driessens, 2001; Deroski et al. 2001] is a first order version of reinforcement learning [Kaelbling, 1996] De Raedt and Dzeroski s PAC learning results in [De Raedt and Deroski, 1994] as well as its incorporation in the CLAUDIEN [De Raedt and Dehaspe, 1997a] system) for jk CT are derived ....
....constraints. MACCENT incorporates clausal constraints that are based on the evaluation of Prolog clauses in examples represented as Prolog programs. More recently, a first order version of reinforcement learning [Kaelbling, 1996] has been introduced as Relational Reinforcement Learning (RRL) in [Deroski et al. 1998a; Driessens, 2001; Deroski et al. 2001] RRL is based on Q learning and uses a more expressive representation language to represent states, actions and Q functions. The Q function is learned using a relational regression tree algorithm, namely TILDE. For efficiency reasons, TILDE has been ....
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S. Deroski, N. Jacobs, M. Molina, C. Moure, S. Muggleton, and W. Van Laer. Detecting traffic problems with ILP. In Proceedings of the Eighth International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 281-290. Springer-Verlag, 1998.
Three Companions for Data Mining in First Order Logic - De Raedt, Blockeel.. (2001) (6 citations) Self-citation (Van laer) (Correct)
....consists of a single tuple in a relational database. This representation is inadequate for problem domains that require reasoning about the structure of objects in the domain and relations among such objects, such as in bio chemistry [8] natural language processing [15] and traffic control [18]. This paper presents three companion systems, where each example corresponds to a small relational database (or Prolog knowledge base) Hence, examples consist of multiple relations and each example can have multiple tuples for these relations. This setting is known in the literature as learning ....
S. Dzeroski, N. Jacobs, M. Molina, C. Moure, S. Muggleton, and W. Van Laer. Detecting traffic problems with ILP. In Proceedings of the Eighth International Conference on Inductive Logic Programming. Springer-Verlag, 1998.
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