No. Title Author Year
1 Approaches and Applications of Inductive Programming (Dagstuhl Seminar 19202) De Raedt, Luc et al. 2019
2 Automating Data Science (Dagstuhl Seminar 18401) De Bie, Tijl et al. 2019
3 Constraints, Optimization and Data (Dagstuhl Seminar 14411) De Raedt, Luc et al. 2015
4 Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201) De Raedt, Luc et al. 2011
5 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis De Raedt, Luc et al. 2008
6 08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications De Raedt, Luc et al. 2008
7 08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications De Raedt, Luc et al. 2008
8 05051 Abstracts Collection -- Probabilistic, Logical and Relational Learning - Towards a Synthesis De Raedt, Luc et al. 2006
9 05051 Executive Summary -- Probabilistic, Logical and Relational Learning - Towards a Synthesis De Raedt, Luc et al. 2006
10 Kernels on Prolog Proof Trees:Statistical Learning in the ILP Setting Passerini, Andrea et al. 2006
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Number of result pages: 1
Number of documents: 10


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