Incremental Learning in Inductive Programming

Author:

Henderson Robert

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Lecture Notes in Computer Science;L. Augusteijn,1999

2. Lecture Notes in Artificial Intelligence;L. Raedt De,2004

3. Hofmann, M., Kitzelmann, E., Schmid, U.: A unifying framework for analysis and evaluation of inductive programming systems. In: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009 (2009)

4. Katayama, S.: Systematic search for lambda expressions. In: Revised Selected Papers from the Sixth Symposium on Trends in Functional Programming, TFP 2005, vol. 6, pp. 111–126. Intellect (2007)

5. Lecture Notes in Computer Science;K. Khan,1998

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1. Automatic Sampler Discovery via Probabilistic Programming and Approximate Bayesian Computation;Artificial General Intelligence;2016

2. Greedy Semantic Local Search for Small Solutions;Lecture Notes in Computer Science;2016

3. Synthesis of Functions Using Generic Programming;Approaches and Applications of Inductive Programming;2010

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