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Bayesian classification

Sun, H. (2006) An accurate and interpretable Bayesian classification model for prediction of HERG liability. ChemMedChem, 1, 315—322. [Pg.125]

FIGURE 5.4 Linear discriminant scores dj for group j by the Bayesian classification rule based on (Equation 5.2). mj, mean vector of all objects in group j Sp1, inverse of the pooled covariance matrix (Equation 5.3) x, object vector (to be classified) defined by m variables Pj, prior probability of group j. [Pg.214]

One way to develop an in silica tool to predictive promiscuity is to apply a NB classifier for modeling, a technique that compares the frequencies of features between selective and promiscuous sets of compounds. Bayesian classification was applied in many studies and was recently compared to other machine-learning techniques [26, 27, 43, 51, 52]. [Pg.307]

Table 12.3 Internal cross-validation statistics for tiERG Bayesian classification model. Table 12.3 Internal cross-validation statistics for tiERG Bayesian classification model.
Hasegawa K, Funatsu K. Bayesian classification of cytochrome P450 3A4 substrates/non-substrates and color mapping for chemical interpretation. J Comput Aided Chem 2010 11 19-24. [Pg.95]

A) The k-nearest neighbor (KNN) method B) SIMCA method C) Quadratic Bayesian classification D) Linear Bayesian classification E) ALLOC method... [Pg.57]

Bhargava, R. et al (2006) High throughput assessment of cells and tissues Bayesian classification of spectral metrics from infrared vibrational spectroscopic imaging data. Biochim. Biophys. Acta, 1758, 830-845. [Pg.443]

L. S0nneland, P. Tennebo, T. Gehrmaim, and 0. Yrke (1994) 3D model-based Bayesian classification. Extended Abstr., Eur. Assoc. Expl. Geophys. [Pg.106]


See other pages where Bayesian classification is mentioned: [Pg.57]    [Pg.252]    [Pg.414]    [Pg.397]    [Pg.251]    [Pg.57]    [Pg.242]    [Pg.14]    [Pg.1250]    [Pg.108]    [Pg.323]    [Pg.317]    [Pg.328]    [Pg.330]    [Pg.332]    [Pg.191]    [Pg.153]    [Pg.116]    [Pg.91]    [Pg.58]   
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See also in sourсe #XX -- [ Pg.191 ]

See also in sourсe #XX -- [ Pg.58 ]




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