GFO: A data driven approach for optimizing the Gaussian function based similarity metric in computational biology - Lei, Jian-Bo; Yin, Jiang-Bo; Shen, Hong-Bin (Neurocomputing (Amsterdam), 2013)
Keywords: Algorithmics. Computability. Computer arithmetics; Applied sciences; Artificial intelligence; Bioinformatics; Biological and medical sciences; Computer science; control theory; systems; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; Gaussian function similarity; General aspects; GFO; Information systems. Data bases; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); Memory organisation. Data processing; Software; Supervised learning; Theoretical computing; Unsupervised learning; GFO; Supervised learning; Bioinformatics; Gaussian function similarity; Unsupervised learning; Capability index; Grid; Very large databases; Data driven modelling; Case based reasoning; Computational complexity; Optimization; Kernel function; Gaussian process; Calculator; Metric; Robustness; Learning algorithm; Artificial intelligence