P-values from analysis of ABIDE dataset for continuous outcome of VIQ. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

Table2_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.DOCX حسب Mingwei Zhang (661218)

Table4_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.DOCX حسب Mingwei Zhang (661218)

Table1_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.DOCX حسب Mingwei Zhang (661218)

Table5_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.DOCX حسب Mingwei Zhang (661218)

Table3_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.DOCX حسب Mingwei Zhang (661218)

Table6_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.DOCX حسب Mingwei Zhang (661218)

Consistency of model-derived predictive patterns as a function of sample diversity. حسب Oualid Benkarim (9707986)

DataSheet5_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.PDF حسب Mingwei Zhang (661218)

DataSheet4_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.PDF حسب Mingwei Zhang (661218)

DataSheet1_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.PDF حسب Mingwei Zhang (661218)

DataSheet3_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.PDF حسب Mingwei Zhang (661218)

DataSheet2_Prognostic Value of mRNAsi/Corrected mRNAsi Calculated by the One-Class Logistic Regression Machine-Learning Algorithm in Glioblastoma Within Multiple Datasets.PDF حسب Mingwei Zhang (661218)

Out-of-distribution prediction and performance of predictive models as a function of sample diversity. حسب Oualid Benkarim (9707986)

Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF حسب Minhua Guo (18392646)

Rule-in and rule-out criteria provided by the machine learning algorithm. حسب Stephan Ellmann (314565)

الموضوعات:

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. حسب Gursimran Singh (575288)

الموضوعات:

AIF and VOF derived features used to feed the machine learning algorithms. حسب Ezequiel de la Rosa (11361108)

Machine learning algorithm parameters. حسب Namal Rathnayake (15361124)