Coordination number prediction using learning classifier systems: performance and interpretability
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Jacek Blazewicz | Jaume Bacardit | Natalio Krasnogor | Jonathan D. Hirst | Michael Stout | J. Blazewicz | J. Bacardit | N. Krasnogor | J. Hirst | Michael Stout
[1] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[2] K. Nishikawa,et al. Predicting absolute contact numbers of native protein structure from amino acid sequence , 2004, Proteins.
[3] Lashon B. Booker,et al. Recombination Distributions for Genetic Algorithms , 1992, FOGA.
[4] Robert M. MacCallum,et al. Striped sheets and protein contact prediction , 2004, ISMB/ECCB.
[5] Martin V. Butz,et al. Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy , 2004, PPSN.
[6] Pierre Baldi,et al. The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem , 2003, J. Mach. Learn. Res..
[7] Chris Sander. Databases of homology-derived protein structures , 1990 .
[8] Kenneth A. De Jong,et al. Using genetic algorithms for concept learning , 1993, Machine Learning.
[9] Stewart W. Wilson. Classifier Fitness Based on Accuracy , 1995, Evolutionary Computation.
[10] 金田 重郎,et al. C4.5: Programs for Machine Learning (書評) , 1995 .
[11] George Karypis,et al. Prediction of contact maps using support vector machines , 2003, Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings..
[12] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[13] D T Jones,et al. Protein secondary structure prediction based on position-specific scoring matrices. , 1999, Journal of molecular biology.
[14] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[15] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[16] Jaume Bacardit Peñarroya. Pittsburgh genetic-based machine learning in the data mining era: representations, generalization, and run-time , 2004 .
[17] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[18] Jacek Blazewicz,et al. From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems , 2006, EvoWorkshops.
[19] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[20] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[21] K. De Jong,et al. Using Genetic Algorithms for Concept Learning , 2004, Machine Learning.
[22] Hideo Matsuda,et al. PDB-REPRDB: a database of representative protein chains from the Protein Data Bank (PDB) , 2001, Nucleic Acids Res..
[23] Huan Liu,et al. Discretization: An Enabling Technique , 2002, Data Mining and Knowledge Discovery.
[24] Christopher Bystroff,et al. Predicting interresidue contacts using templates and pathways , 2003, Proteins.
[25] Geoffrey J. Barton,et al. Protein sequence alignments: a strategy for the hierarchical analysis of residue conservation , 1993, Comput. Appl. Biosci..