The frame of the WKPCA dimension reduction algorithm. by Wen Bo Liu (11559222)

Subjects:

Modeling effect of different automl algorithms. by Guangyuan Ge (11520226)

WKPCA dimension reduction algorithm flow. by Wen Bo Liu (11559222)

Subjects:

Data_Sheet_1_Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations.CSV by Denise Reimann (7213364)

Data_Sheet_2_Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations.pdf by Denise Reimann (7213364)

Unimodal benchmark functions. by Rahila Hafiz (18137254)

“…We conduct simulation experiments and compare the proposed algorithm with the original WOA on thirteen benchmark test functions. …”

Multimodal benchmark functions. by Rahila Hafiz (18137254)

“…We conduct simulation experiments and compare the proposed algorithm with the original WOA on thirteen benchmark test functions. …”

Schematic diagram of linear separable support vector machine. by Jianjian Wang (288375)

Pair Potentials as Machine Learning Features by Jun Pei (1765720)

Subjects:

Pair Potentials as Machine Learning Features by Jun Pei (1765720)

Subjects:

Pair Potentials as Machine Learning Features by Jun Pei (1765720)

Subjects:

Details of S-shaped and V-shaped functions. by Yan Wei (32168)

“…The training data were input to the support vector machine for prediction. The proposed method is experimented by comparing it with peers, well-known machine learning models on the IEEE CEC2017 benchmark functions, public datasets, and graduate employment prediction dataset. …”

Parameter settings for the benchmark function experiments. by Yan Wei (32168)

Result of benchmark functions. by Mingjun Li (178925)

Subjects:

V-shaped transfer functions. by Nebojsa Bacanin (13932723)

Electrochemical Sensor to Detect Antibiotics in Milk Based on Machine Learning Algorithms by Timur A. Aliev (17275821)

“…The gradient boosting algorithm showed the best efficiency in training the machine learning model. …”

Table_1_Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism.DOCX by Andrea Corsini (12673323)

“…The aim of this study is to develop and internally validate diagnostic prediction models for hypothyroidism in dogs by applying machine-learning algorithms.</p>Methods<p>A single-institutional cross-sectional study was designed searching the electronic database of a Veterinary Teaching Hospital for dogs tested for hypothyroidism. …”

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)