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Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.

, , , , and . Bioinformatics, 34 (11): 1884-1892 (2018)

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On the practical applicability of VC dimension bounds., and . Neural Computation, 7 (6): 1265-1288 (1995)Learning Dynamic Systems from Time-series Data - An Application to Gene Regulatory Networks., and . ICPRAM (2), page 324-332. SciTePress, (2015)On the Power of Polynomial Discriminators and Radial Basis Function Networks., and . COLT, page 158-164. ACM, (1993)On the statistical physics of radial basis function networks., and . Neural Processing Letters, 2 (4): 16-19 (1995)Bayesian Hierarchical Ordinal Regression., , and . ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 267-272. Springer, (2005)Machine Learning for First-Order Theorem Proving - Learning to Select a Good Heuristic., , and . J. Autom. Reasoning, 53 (2): 141-172 (2014)Generalization and PAC learning: some new results for the class of generalized single-layer networks., and . IEEE Trans. Neural Networks, 6 (2): 368-380 (1995)Average-Case Learning Curves for Radial Basis Function Networks., and . Neural Computation, 9 (2): 441-460 (1997)Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics., , , , , , , , , and . PLoS Computational Biology, (2016)On the theory of generalization and self-structuring in linearly weighted connectionist networks.. University of Cambridge, UK, (1993)British Library, EThOS.