Shevade SK, Keerthi SS, Bhattacharyya C, Murthy KRK (2000) Improvements to the SMO algorithm for SVM regression. IEEE Trans Neural Netw 11(5):1188–1193 Article Google Scholar Song Z, Xie Y, Huang W, Wang H (2019) Classification of traditional Chinese medicine cases based on character-le...
The support vector machine (SVM) algorithm method was used to derive a diagnostic formula. In this study, 452 and 263 subjects were diagnosed with T2DM and IGT, respectively, while 832 had normal glucose tolerance (NGT). The sensitivity rates for the formula were 77.2% for T2DM and 80.4% ...
Structural Poisson Mixtures for Classification of Documents Bayes methodsPoisson distributionclassificationexpectation-maximisation algorithmoptimisationprobabilityset theorytext analysisBayes formulaclass-conditional probability ... J Grim,J Novovicová,P Somol - International Conference on Pattern Recognition 被引量...
algorithm, which has large storage requirements. We describe how storage requirements can be significantly reduced with, at most, minor sacrifices in learning rate and classification accuracy. While the storage-reducing algorithm performs well on several real-world databases, its performance degrades ...
Most of the above-mentioned correlation studies are based on the spectral analysis model established by linear algorithm, such as PLS. However, viscosity is a physical quantity that describes the difficulty of liquid flow. The relationship between viscosity, density and composition of base oil is co...
a genetic algorithm-based docking program to generate an ensemble of docked conformations. Taking into account the factors including H-bonding energy, van der Waals energy, metal interaction, and ligand torsion strain in the defaulted scoring function, the GOLD Score fitness function was employed23....
In silico databases and servers Physicochemical properties Drug-like rules ADMET parameters Modeling algorithm admetSAR 2.0 MW, log P, HBA, HBD, RB Lipinski CacoP, BBB, HIA, OB, P-gp±, PPB, BPB, CYPI/S, Cl, t1/2, AOT, AT, CAR, Herg, DILI, EI, MT, ED, CAR, etc. SVM, kNN...
The Formula Concept clustering using a k-means algorithm can assign 29/30 ≃ 97% correctly, while the fuzzy string matching performs26 slightly worse with 28/30 ≃ 93%. Random sampling only reaches 8/30 ≃ 27%. So, the clustering outperforms the other 26 A formula is assigned ...
Algorithm 1 Simulation of the continuous-time Markov chain and EM approximation Input: Generator matrix Q, time step h, terminal time T, initial state i0, initial value Rt0 , parameters κ, θXk , σXk and β Output: Simulated discrete Markov chain {Xk, k = 0, 1, . . . , k∗...
The following classifiers were considered as potential models for predicting administered HFs: logit, DT, SVM, RF, MLP, and CDF models. A greedy search algorithm was used to find the optimized hyperparameters by comparing the performance of the classifier models in a predefined search range. We ...