ROC analysis of the Machine Learning Algorithm. حسب Stephan Ellmann (314565)

الموضوعات:

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

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

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)

Model selection for machine learning algorithm based on microbial abundances. حسب Elio L. Herzog (11576876)

الموضوعات: "…applying independent algorithms…"

Activation functions: Sigmoid function and ReLU function. حسب Wan-Hua Zhang (21601139)

Great machine learning performance with multiple classification algorithms. حسب Sydney C. Weiser (15383531)

Algorithms for Sparse Support Vector Machines حسب Alfonso Landeros (798926)

"…We derive two closely related algorithms to carry out this strategy. Our simulated and real examples vividly demonstrate how the algorithms achieve better sparsity without loss of classification power. …"

Flowchart of the proposed algorithm. حسب Heewon Chung (2881286)

الموضوعات:

Construction of the PRG score index using integrated machine learning algorithms. حسب Xiangxin Wu (22320058)

الموضوعات:

Calculation results of commonly used machine learning algorithm models. حسب Qianhui He (13522729)

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning حسب Bernhard Vennemann (7434353)

The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties حسب Tijana Šušteršič (14519970)

الموضوعات:

Concept of the Loss function in the case of Supervised Machine Learning and Physics Machine Learning approach. حسب Akshansh Mishra (21001499)

The structure of the proposed algorithm. حسب Mingbao Yang (14008799)

Classification performance of four machine learning algorithms on the test set. حسب Maryam Ahmadzadeh (8590380)

Key gene identification based on two machine learning algorithms. حسب Lijun Guo (605276)

Ranking machine learning algorithms based on AUC. حسب F. William Townes (3216846)

"…<p>Numeric values indicate the fraction of times the row algorithm has higher classification performance than the column algorithm. pglm: elastic net penalized logistic regression, svm: support vector machine with radial basis function, xgb: gradient boosted trees, nb: naive Bayes, knn: k-nearest neighbors.…"

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