rsantana's bayesian-edas [40 articles] Export

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	Computational complexity and simulation of rare events of Ising spin glasses [My Copy] (15 Feb 2004) by Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet posted to bayesian-edas boa edas eda-theory ising by rsantana on 2007-10-24 08:09:07 as along with 1 person and 2 groups nojhan EvolutionaryComputation Metaheuristics
	Combining the Strengths of the Bayesian Optimization Algorithm and Adaptive Evolution Strategies [My Copy] by Martin Pelikan, David E. Goldberg, Shigeyoshi Tsutsui posted to adaptation bayesian-edas boa continuous-edas edas by rsantana on 2007-08-21 10:25:37 as along with 1 person petrposik
	Scalability of the Bayesian optimization algorithm [My Copy] pp. 221-258. by M. Pelikan posted to bayesian-edas eda-theory edas by rsantana on 2007-05-18 18:44:45 as
	Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation) [My Copy] (01 October 2001) posted to bayesian bayesian-edas eda-theory edas evolutionary-computation mateda by rsantana on 2007-04-02 11:59:22 as along with 2 people kuaaaaa santi515
	Evolutionary Bayesian Classifier-Based Optimization in Continuous Domains [My Copy] Lecture Notes in Computer Science : Simulated Evolution and Learning (2006), pp. 529-536. by Teresa Miquã©lez, Endika Bengoetxea, Pedro Larraã±aga posted to edas continuous-edas bayesian-edas bayesian by rsantana on 2007-01-19 19:41:36 as along with 1 person and 3 groups nojhan EvolutionaryComputation Metaheuristics Optimization
	Automated global structure extraction for effective local building block processing in XCS. [My Copy] Evol Comput, Vol. 14, No. 3. (2006), pp. 345-380. by M. V. Butz, M. Pelikan, X. Llorà, D. E. Goldberg posted to edas classifier-systems boa bayesian-edas by rsantana on 2007-01-19 19:07:15 as
	Bayesian Methods for Efficient Genetic Programming [My Copy] pp. 217-242. by B. T. Zhang posted to genetic-programming edas bayesian-edas by rsantana on 2007-01-18 21:14:03 as
	Order or Not: Does Parallelization of Model Building in hBOA Affect Its Scalability? [My Copy] (June 2006) by Martin Pelikan, James D. Laury posted to edas boa bayesian-edas by rsantana on 2007-01-15 18:23:02 as along with 1 person lop
	$My PDF pe&\#241;a_04_unsupervised.pdf$ Unsupervised learning of Bayesian networks via estimation of distribution algorithms: an application to gene expression data clustering [My Copy] Int. J. Uncertain. Fuzziness Knowl.-Based Syst., Vol. 12, No. SUPPLEMENT. (2004), pp. 63-82. by J. M. Pe&\#241;a, J. A. Lozano, P. Larra&\#241;aga posted to bayesian-edas bioinformatics edas by rsantana on 2006-12-21 10:13:32 as along with 2 people eweaver wnpx
	Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks [My Copy] Evolutionary Computation, Vol. 13, No. 1. (January 2005), pp. 43-66. by J. Pena, J. Lozano posted to bayesian-edas edas optimization by rsantana on 2006-12-21 10:11:59 as
	Evolutionary Induction of Sparse Neural Trees [My Copy] Evolutionary Computation, Vol. 5, No. 2. (1997), pp. 213-236. by B. T. Zhang, P. Ohm, Heinz Mühlenbein posted to bayesian-edas edas by rsantana on 2006-12-20 19:22:37 as along with 1 person knowledge01
	Bayesian Evolutionary Optimization Using Helmholz Machines [My Copy] In Parallel Problem Solving from Nature,Lecture Notes in Computer Science, Vol. 1917 (2000), pp. 827-836. by B. T. Zhang, S. Y. Shin posted to bayesian-edas edas by rsantana on 2006-12-20 19:22:37 as
	Bayesian Methods for Efficient Genetic Programming [My Copy] Genetic Programming and Evolvable Machines, Vol. 1, No. 3. (2000), pp. 217-242. by B. T. Zhang, P. Ohm, Heinz Mühlenbein posted to bayesian-edas edas genetic-programming by rsantana on 2006-12-20 19:22:37 as
	Bayesian Evolutionary Algorithms for Learning and Optimization [My Copy] In Proceedings of the Genetic and Evolutionary Computation Conference {GECCO}-2000, Workshop on Optimization by Building and Using Probabilistic Models (OBUPM) (2000), pp. 220-222. by B. T. Zhang posted to bayesian-edas edas learning by rsantana on 2006-12-20 19:22:37 as
	A Bayesian Framework for Evolutionary Computation [My Copy] In Proceedings of the 1999 Congress on Evolutionary Computation CEC-1999, Vol. 1 (1999), pp. 722-728. by B. T. Zhang posted to edas eda-theory bayesian-edas by rsantana on 2006-12-20 19:22:37 as
	On the use of Polytrees in Evolutionary Computation [My Copy] Investigación Operacional, Vol. 22, No. 3. (2001), pp. 132-138. by Marta R. Soto, Alberto Ochoa, Roberto Santana posted to bayesian-edas edas pada by rsantana on 2006-12-20 19:22:36 as
	Hierarchical Bayesian Optimization Algorithm. Toward a New Generation of Evolutionary Algorithms [My Copy] (2005) by M. Pelikan posted to boa bayesian-edas by rsantana on 2006-12-20 19:22:30 as
	Hierarchical BOA solves Ising spin glasses and Max-Sat [My Copy] No. 2003001. (January 2003) by Martin Pelikan, David E. Goldberg posted to boa bayesian-edas by rsantana on 2006-12-20 19:22:30 as
	Bayesian Optimization Algorithm: From Single Level to Hierarchy. [My Copy] (2002) by Martin Pelikan posted to edas boa bayesian-edas by rsantana on 2006-12-20 19:22:30 as
	Scalability of the Bayesian optimization algorithm [My Copy] International Journal of Approximate Reasoning, Vol. 31, No. 3. (2002), pp. 221-258. by Martin Pelikan, Kumara Sastry, David E. Goldberg posted to edas boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	The Bayesian optimization algorithm (BOA) with decision graphs [My Copy] (May 2000) by Martin Pelikan posted to graphical-models edas boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	Bayesian Optimization Algorithm, Decision Graphs, and Occam's Razor [My Copy] No. 2000020. (2000) by Martin Pelikan, David E. Goldberg, Kumara Sastry posted to edas boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	Linkage problem, distribution estimation, and Bayesian networks [My Copy] Evolutionary Computation, Vol. 8, No. 3. (2000), pp. 311-340. by Martin Pelikan, David E. Goldberg, Erick C. Paz posted to edas eda-theory boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	Hierarchical problem solving by the Bayesian optimization algorithm [My Copy] No. 2000002. (2000) by Martin Pelikan, David E. Goldberg, Erick C. Paz posted to edas boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	Bayesian Optimization Algorithm, population sizing, and time to convergence [My Copy] No. 2000001. (2000) by Martin Pelikan, David E. Goldberg, Erick C. Paz posted to edas boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	Genetic Algorithms, Clustering, and the Breaking of Symmetry [My Copy] In Parallel Problem Solving from Nature - PPSN VI 6th International Conference (September 2000), pp. 385-394. by Martin Pelikan, David E. Goldberg posted to edas clustering boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	Genetic Algorithms, Clustering, and the Breaking of Symmetry [My Copy] In Parallel Problem Solving from Nature - PPSN VI 6th International Conference (September 2000), pp. 385-394. by Martin Pelikan, David E. Goldberg edited by Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, et al.Xin Yao, Evelyne Lutton, Juan J. Merelo, Hans P. Schwefel posted to edas clustering boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	BOA: The Bayesian optimization algorithm [My Copy] In Proceedings of the {G}enetic and {E}volutionary {C}omputation {C}onference {GECCO}-1999, Vol. I (1999), pp. 525-532. by Martin Pelikan, David E. Goldberg, Erick C. Paz edited by Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, et al.Max H. Garzon, Vasant Honavar, Mark Jakiela, Robert E. Smith posted to edas boa bayesian-edas by rsantana on 2006-12-20 19:22:29 as
	Linkage problem, distribution estimation, and Bayesian networks [My Copy] No. 98013. (1998) by Martin Pelikan, David E. Goldberg, Erick C. Paz posted to linkage edas eda-theory bayesian-edas bayesian by rsantana on 2006-12-20 19:22:26 as
	A maximum entropy approach to sampling in EDA- the single connected case [My Copy] Lecture Notes in Computer Science, Vol. 2905 (2003), pp. 683-690. by A. Ochoa, R. Höns, M. R. Soto, H. Mühlenbein posted to edas bayesian-edas by rsantana on 2006-12-20 19:22:25 as
	A Factorized Distribution Algorithm Using Single Connected Bayesian Networks [My Copy] In Parallel Problem Solving from Nature - PPSN VI 6th International Conference (September 2000) by A. Ochoa, H. Mühlenbein, M. R. Soto edited by Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, et al.Xin Yao, Evelyne Lutton, Juan J. Merelo, Hans P. Schwefel posted to edas eda-theory bayesian-edas by rsantana on 2006-12-20 19:22:25 as
	Factorized Distribution Algorithms using Bayesian networks bounded complexity [My Copy] In Proceedings of the Genetic and Evolutionary Computation Conference {GECCO}-2000 (2000), pp. 212-215. by A. Ochoa, H. Mühlenbein, M. Soto posted to edas bayesian-edas by rsantana on 2006-12-20 19:22:25 as
	Evolutionary Optimization and the Estimation of Search Distributions with Applications to Graph Bipartitioning [My Copy] International Journal on Approximate Reasoning, Vol. 31, No. 3. (2002), pp. 157-192. by H. Mühlenbein, T. Mahnig posted to neighborhood-search graphs edas bayesian-edas by rsantana on 2006-12-20 19:22:24 as
	Evolutionary Synthesis of Bayesian Networks for Optimization [My Copy] In Advances in {E}volutionary {S}ynthesis of {I}ntelligent {A}gents (2001), pp. 429-455. by H. Mühlenbein, T. Mahnig edited by Mukesh Patel, Vasant Honavar, Karthik Balakrishnan posted to edas eda-theory bayesian-edas by rsantana on 2006-12-20 19:22:24 as
	Evolutionary computation based on Bayesian classifiers [My Copy] International Journal of Applied Mathematics and Computer Science, Vol. 14, No. 3. (2004), pp. 101-115. by T. Miquélez, E. Bengoetxea, P. Larrañaga posted to edas bayesian-edas by rsantana on 2006-12-20 19:22:24 as
	Optimal mutation rate using Bayesian priors for Estimation of Distribution Algorithms [My Copy] In Proceedings of the First Symposium on Stochastic Algorithms: Foundations and Applications, SAGA-2001, Vol. 2264 (2001), pp. 33-48. by T. Mahnig, H. Mühlenbein edited by Kathleen Steinhöfel posted to edas bayesian-edas by rsantana on 2006-12-20 19:22:23 as
	Comparing the Adaptive Boltzmann Selection Schedule SDS to Truncation Selection [My Copy] In Evolutionary Computation and Probabilistic Graphical Models. Proceedings of the Third Symposium on Adaptive Systems (ISAS-2001) (March 2001), pp. 121-128. by T. Mahnig, H. Mühlenbein posted to edas bayesian-edas by rsantana on 2006-12-20 19:22:23 as
	Populations basierte Optimierung durch das Lernen von Interaktionen mit Bayes'schen Netzen [My Copy] (2001) by Thilo Mahnig posted to edas eda-theory bayesian-edas by rsantana on 2006-12-20 19:22:23 as
	Parallel estimation of Bayesian networks algorithms [My Copy] In Evolutionary Computation and Probabilistic Graphical Models. Proceedings of the Third Symposium on Adaptive Systems ({ISAS-2001}) (March 2001), pp. 137-144. by José A. Lozano, Ramón Sagarna, P. Larrañaga posted to edas bayesian-edas by rsantana on 2006-12-20 19:22:23 as
	BOA: The Bayesian Optimization Algorithm [My Copy] In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-99, Vol. I (JanuaryMarch-JanuaryJuly 1999), pp. 525-532. by Martin Pelikan, David E. Goldberg, Erick C. Paz edited by Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, et al.Max H. Garzon, Vasant Honavar, Mark Jakiela, Robert E. Smith posted to bayesian-edas boa edas by rsantana on 2006-12-20 19:08:37 as along with 6 people and 1 group ansobol jrw eme lop RobMills robotact astro

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bibtex-import	329
edas	185
protein	110
genetic-algorithms	92
graphical-models	82
optimization	70
propagation	59
eda-theory	53
bioinformatics	47
learning	47
ga-theory	44
bayesian-edas	40
kikuchi-approximations	39
graphs	35
inference	34
region-graphs	33
complexity	31
entropy	31
network	27
tree	24
boa	23
fitness	19
bayesian	18
clustering	18
mixtures	18
evolutionary-computation	17
umda	17
bayesian-networks	16
continuous-edas	16
fda	16
sampling	15
markov-network	13
constraints	12
multiobjective	11
protein-design	11
partial-evaluation	10
rotamers	10
sidechains	10
approximations	9
linkage	9
neuroscience	9
factor-graphs	8
interactions	8
selection	8
genetic-programming	7
hp-model	7
markov-chains	7
modularity	7
pada	7
classifier-systems	6
data-mining	6
ising	6
mean-field	6
sat	6
adaptation	5
monte-carlo	5
turing-machines	5
aco	4
frustration	4
gaussian	4
markov-fields	4
pbil	4
schema-theory	4
testors	4
vision	4
genetics	3
gibbs-sampling	3
ipf	3
mateda	3
neural-networks	3
pattern-recognition	3
snps	3
bmda	2
cavity-method	2
classifiers	2
decimation	2
dynamic-problems	2
heuristics	2
mutation	2
neighborhood-search	2
r	2
reinforcement-learning	2
second-life	2
software	2
swarms	2
testor	2
turing-machine	2
unitation-functions	2
visualization	2
vns	2
artificial-life	1
ba	1
causality	1
chordal-graphs	1
circuit-reconstruction	1
damping	1
dimensionality-reduction	1
dynamic-optimization	1
ecga	1
fuzzy	1
ica	1
inf	1
max-configurations	1
mdl	1
philosophy	1
qsar	1
random-forests	1
realizability	1
rna	1
robotics	1
spanish	1
tabu-search	1
thesis	1
time-continuation	1
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rsantana's bayesian-edas [40 articles] Export

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