Classification algorithm hyperparameter combinations. حسب Stephen R. Piccolo (8367780)

Feature-selection algorithm hyperparameter combinations. حسب Stephen R. Piccolo (8367780)

Comparison of ranks for classification algorithms across performance metrics. حسب Stephen R. Piccolo (8367780)

Tradeoff between execution time and predictive performance for classification algorithms. حسب Stephen R. Piccolo (8367780)

Relative classification performance per combination of feature-selection and classification algorithm. حسب Stephen R. Piccolo (8367780)

Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection. حسب Stephen R. Piccolo (8367780)

Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing hyperparameter optimization. حسب Stephen R. Piccolo (8367780)

Summary of predictive performance per dataset when using gene-expression predictors. حسب Stephen R. Piccolo (8367780)

Summary of predictive performance per dataset when using clinical predictors. حسب Stephen R. Piccolo (8367780)

Summary of predictive performance per dataset when using gene-expression and clinical predictors. حسب Stephen R. Piccolo (8367780)

Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection. حسب Stephen R. Piccolo (8367780)

Chinese-STS-B dataset. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"

Ablation test results for character matching. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"

Image space visualization results. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"

Evaluation result of competition datasets. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"

Dot matrix space visualization results. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"

Reconstruction result. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"

Lcqmc dataset. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"

Test result comparison of general datasets. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"

AFQMC ant financial semantic similarity dataset. حسب Meilong Zhu (17200360)

"…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …"