Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

Subjects:

Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

Subjects:

Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

Subjects:

Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

Subjects:

Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

Subjects:

Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

Subjects:

Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

Subjects:

Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

Subjects:

Properties of the 14 features that were used for building the model. by Aimilia-Christina Vagiona (17584758)

Subjects:

Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions. by Yang Cao (53545)

“…<p>Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.…”

Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100. by Yang Cao (53545)

“…<p>Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.…”

Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

SP results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

MS results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

Box plot of the ADGWDTO and competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

Comparison of results of algorithms under five standard functions. by Kemal Gökhan Nalbant (18858009)

The PS of ten comparative algorithms on the MMF14a Test Function. by Wenxing Wu (16853002)

Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty by Arnaud Liehrmann (10970682)

“…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …”