The schematic view of the Radial Basis Function (RBF) algorithm. by Mohsen Yoosefzadeh-Najafabadi (6917399)

Model training accuracy for Random Forest (RF), Multilayer Perceptron (MLP), and Radial Basis Function (RBF) algorithms by adding variables based on the correlation results. by Mohsen Yoosefzadeh-Najafabadi (6917399)

Immune infiltration analysis by ssGSEA algorithm. by Yubin Xue (1537042)

Fig 3 - by Ali Ahmed (2567584)

Mean RMSE and R² for the training and test phases of RBF by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)

Mean RMSE and R² for the training and test phases of MLP by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)

Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

Cost function calculated by QA with different hyperparameters. by Takuro Matsuta (21608505)

Cost function calculated by SA with different hyperparameters. by Takuro Matsuta (21608505)

A Quadratic Pair Atomic Resolution of the Identity Based SOS-AO-MP2 Algorithm Using Slater Type Orbitals by Arno Förster (8356044)

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

Faster Exact Exchange for Solids via occ-RI-K: Application to Combinatorially Optimized Range-Separated Hybrid Functionals for Simple Solids with Pseudopotentials Near the Basis Se... by Joonho Lee (1351974)

“…In this work, we developed and showcased the occ-RI-K algorithm to compute the exact exchange contribution in density functional calculations of solids near the basis set limit. …”

Fig 2. Estimated correlation coefficient values of the following algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using full SNP (Full-) and haplotype block (Haplotype-) dataset. Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP). by Mohsen Yoosefzadeh Najafabadi (11950262)

“…Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP).…”

Fig 3. Estimated coefficient of determination (R2) value of the tested algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using haplotype block (Haplotype-) dataset. Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP). by Mohsen Yoosefzadeh Najafabadi (11950262)

“…Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP).…”

Reflection matrix microscopy data and CLASS algorithms by Sungsam Kang (18931031)

“…<h3><b>Reflection matrix microscopy data and CLASS algorithms</b></h3><p dir="ltr">This software package includes essential algorithms for reflection matrix microscope (RMM) and the CLASS algorithm. …”

Systematically Improvable Tensor Hypercontraction: Interpolative Separable Density-Fitting for Molecules Applied to Exact Exchange, Second- and Third-Order Møller–Plesset Perturbat... by Joonho Lee (1351974)

“…In particular, <i>c</i>_ISDF sets the number of interpolation points used in THC, <i>N</i>_IP = <i>c</i>_ISDF × <i>N</i>_X with <i>N</i>_X being the number of auxiliary basis functions. In conjunction with the resolution-of-the-identity (RI) technique, we develop and investigate the THC-RI algorithms for cubic-scaling exact exchange for Hartree–Fock and range-separated hybrids (e.g., ωB97X-V) and quartic-scaling second- and third-order Møller–Plesset theory (MP2 and MP3). …”

Fig 4. The Mean Absolute Error (MAE, Top) and Root Mean Square Error (RMSE, Bottom) values of the tested algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using haplotype blocks (Haplotype-) dataset. Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP). by Mohsen Yoosefzadeh Najafabadi (11950262)

“…Ensemble-Bagging (E-B), Radial basis function (RBF), Random forest (RF), Support vector regression (SVR), Ridge regression best linear unbiased prediction (rrBLUP).…”