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Genetic Programming for Kernel-Based Learning with Co-evolving Subsets Selection

, , , and . Parallel Problem Solving from Nature - PPSN IX, volume 4193 of LNCS, page 1008--1017. Reykjavik, Iceland, Springer-Verlag, (9-13 September 2006)
DOI: doi:10.1007/11844297_102

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Delaying the Choice of Bias: A Disjunctive Version Space Approach.. ICML, page 444-452. Morgan Kaufmann, (1996)Learning Sparse Features with an Auto-Associator., , and . Growing Adaptive Machines, volume 557 of Studies in Computational Intelligence, Springer, (2014)From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm., , and . SARA, volume 3607 of Lecture Notes in Computer Science, page 107-120. Springer, (2005)Inférence dans les HMM hiérarchiques et factorisés : changement de représentation vers le formalisme des Réseaux Bayésiens., , and . EGC (Ateliers), volume E-5 of RNTI, page 57-60. Cépaduès-Éditions, (2005)Artificial Agents and Speculative Bubbles, , , and . CoRR, (2005)Avoiding the Bloat with Stochastic Grammar-based Genetic Programming, and . CoRR, (2006)Evolving Symbolic Controllers, , and . CoRR, (2007)Automated Machine Learning with Monte-Carlo Tree Search (Extended Version)., , and . CoRR, (2019)Incremental Learning of Rules and Meta-rules., and . ML, page 49-57. Morgan Kaufmann, (1990)Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data., and . EvoWorkshops, volume 3449 of Lecture Notes in Computer Science, page 74-83. Springer, (2005)