Context-specific Bayesian clustering for gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
From promoter sequence to expression: a probabilistic framework
Proceedings of the sixth annual international conference on Computational biology
Modeling dependencies in protein-DNA binding sites
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Construction of Large-Scale Bayesian Networks by Local to Global Search
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Schema Design for Causal Law Mining from Incomplete Database
DS '99 Proceedings of the Second International Conference on Discovery Science
Bayesian data mining and knowledge discovery
Data mining
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
Multiobjective hBOA, clustering, and scalability
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Linkage Problem, Distribution Estimation, and Bayesian Networks
Evolutionary Computation
A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
ICML '06 Proceedings of the 23rd international conference on Machine learning
Automated global structure extraction for effective local building block processing in XCS
Evolutionary Computation
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Hybrid evolutionary algorithms on minimum vertex cover for random graphs
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Order or not: does parallelization of model building in hBOA affect its scalability?
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Sporadic model building for efficiency enhancement of the hierarchical BOA
Genetic Programming and Evolvable Machines
Using previous models to bias structural learning in the hierarchical BOA
Proceedings of the 10th annual conference on Genetic and evolutionary computation
From mating pool distributions to model overfitting
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
iBOA: the incremental bayesian optimization algorithm
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A socio-technical approach to business process simulation
Decision Support Systems
Learning directed probabilistic logical models from relational data
AI Communications
Learning directed probabilistic logical models: ordering-search versus structure-search
Annals of Mathematics and Artificial Intelligence
Intelligent bias of network structures in the hierarchical BOA
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Incremental estimation of discrete hidden Markov models based on a new backward procedure
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Conditional log-linear structures for log-linear modelling
Computational Statistics & Data Analysis
Learning probabilistic decision graphs
International Journal of Approximate Reasoning
Analyzing probabilistic models in hierarchical BOA
IEEE Transactions on Evolutionary Computation - Special issue on evolutionary algorithms based on probabilistic models
Entropy-based substructural local search for the bayesian optimization algorithm
Proceedings of the 12th annual conference on Genetic and evolutionary computation
NK landscapes, problem difficulty, and hybrid evolutionary algorithms
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Network crossover performance on NK landscapes and deceptive problems
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Selection of statistical thresholds in graphical models
EURASIP Journal on Bioinformatics and Systems Biology
Learning patient-specific predictive models from clinical data
Journal of Biomedical Informatics
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Advanced neighborhoods and problem difficulty measures
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions
Proceedings of the 13th annual conference on Genetic and evolutionary computation
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning the structure of dynamic probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Hierarchical BOA, cluster exact approximation, and ising spin glasses
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Symbolic generalization for on-line planning
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
A comparison of approaches for learning probability trees
ECML'05 Proceedings of the 16th European conference on Machine Learning
Using previous models to bias structural learning in the hierarchical boa
Evolutionary Computation
Availability of enterprise IT systems: an expert-based Bayesian framework
Software Quality Control
Distance-based bias in model-directed optimization of additively decomposable problems
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Transfer learning, soft distance-based bias, and the hierarchical BOA
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
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