The following publications are possibly variants of this publication:
- Analyzing Probabilistic Models in Hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima. tec, 13(6):1199-1217, 2009. [doi]
- Hierarchical BOA on random decomposable problemsMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg. gecco 2006: 431-432 [doi]
- Hierarchical BOA Solves Ising Spin Glasses and MAXSATMartin Pelikan, David E. Goldberg. gecco 2003: 1271-1282 [doi]
- Sporadic model building for efficiency enhancement of hierarchical BOAMartin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2006: 405-412 [doi]
- Intelligent bias of network structures in the hierarchical BOAMark Hauschild, Martin Pelikan. gecco 2009: 413-420 [doi]
- Sporadic model building for efficiency enhancement of the hierarchical BOAMartin Pelikan, Kumara Sastry, David E. Goldberg. gpem, 9(1):53-84, 2008. [doi]
- Using previous models to bias structural learning in the hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2008: 415-422 [doi]
- Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model RestrictionsMark Hauschild, Martin Pelikan. ppsn 2008: 417-427 [doi]
- Analyzing probabilistic models in hierarchical BOA on traps and spin glassesMark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry. gecco 2007: 523-530 [doi]
- Using Previous Models to Bias Structural Learning in the Hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg. ec, 20(1):135-160, 2012. [doi]
- Hierarchical BOA, Cluster Exact Approximation, and Ising Spin GlassesMartin Pelikan, Alexander K. Hartmann, Kumara Sastry. ppsn 2006: 122-131 [doi]
- Transfer Learning, Soft Distance-Based Bias, and the Hierarchical BOAMartin Pelikan, Mark Hauschild, Pier Luca Lanzi. ppsn 2012: 173-183 [doi]
- Parameter-less Hierarchical Bayesian Optimization AlgorithmMartin Pelikan, Alexander K. Hartmann, Tz-Kai Lin. In Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz, editors, Parameter Setting in Evolutionary Algorithms. Volume 54 of Studies in Computational Intelligence, pages 225-239, Springer, 2007. [doi]