Performance of empirical potentials (AMBER, CFF95, CVFF, CHARMM, OPLS, POLTEV), semiempirical quantum chemical methods (AM1, MNDO/M, PM3), and ab initio Hartree-Fock method for interaction of DNA bases: Comparison with nonempirical beyond Hartree-Fock results.
Pavel HobzaMartin KabelácJirí SponerPetr MejzlíkJirí VondrásekPublished in: J. Comput. Chem. (1997)
Keyphrases
- significant improvement
- alternative methods
- classification method
- preprocessing
- machine learning methods
- methods require
- hybrid method
- cross validation
- methods outperform
- synthetic and real images
- gold standard
- higher order
- objective function
- computational cost
- classification accuracy
- classical methods
- theoretical analysis
- heuristic methods
- benchmark data sets
- machine learning
- pairwise
- retrieval method
- linear regression
- search methods
- statistical methods
- high order
- cost function
- basis functions
- detection method
- neural network
- segmentation method
- similarity measure
- statistical significance
- support vector machine svm
- face recognition
- high accuracy
- learning algorithm
- support vector machine