Читать книгу Optimization and Machine Learning - Patrick Siarry - Страница 4

1 Chapter 1Table 1.1. Comparative study of the 2L-CVRPTable 1.2. Comparative study of the 3L-CVRP

2 Chapter 2Table 2.1. Comparison of existing scheduling approachesTable 2.2. Solution encoding

3 Chapter 3Table 3.1. Most commonly used S and V transfer functions for feature section (Mi...Table 3.2. Wrapper parametersTable 3.3. Wrapper performance metrics

4 Chapter 4Table 4.1. The classification of simple assembly line balancing problems with th...Table 4.2. The classification of mixed-model assembly line balancing problems wi...Table 4.3. Ranked positional weight list (RPW_list)Table 4.4. Iteration x (α = 1)Table 4.5. Iteration y (α = 0.5)Table 4.6. Iteration z (α = 0.8)Table 4.7. Comparison of solutionsTable 4.8. Small-sized problemTable 4.9. Medium-sized problemTable 4.10. Large-sized problemTable 4.11. Parameters used in solving proposed problemsTable 4.12. Results obtained by hybrid reactive GRASP and hybrid basic GRASP aft...Table 4.13. Results obtained by hybrid reactive GRASP and hybrid basic GRASP aft...Table 4.14. Results obtained by hybrid reactive GRASP and basic GRASP after solv...Table 4.15. General comparison between the hybrid reactive GRASP and the basic G...

5 Chapter 5Table 5.1. NotationsTable 5.2. MovieLens 1M specificationsTable 5.3. The best scoring stacked content-based filtering recommendersTable 5.4. Recommendation accuracy scores (%) of compared methods conducted on M...

6 Chapter 6Table 6.1. Results for composition Extract Features and ML algorithms – Simple E...Table 6.2. Results for composition Extract Features and ML algorithms – Simple E...Table 6.3. Results for composition Extract Features and ML algorithms – FastText...Table 6.4. Results for composition Extract Features and ML algorithms – FastText...Table 6.5. Results for composition Extract Features and ML algorithms – BERTTable 6.6. Confusion matrix

7 Chapter 8Table 8.1. Summary of the attributes of the NSL-KDD datasetTable 8.2. Features of the NSL-KDD dataset, divided by typeTable 8.3. Shape and results of the first modelTable 8.4. Shape and results of the second and third modelsTable 8.5. Shape and results of the dropout modelsTable 8.6. Shape and results of the deep modelsTable 8.7. Comparison between models trained on ExtraTrees Classifier selected f...