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203 results on '"training data"'

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1. Stochastic Mirror Descent on Overparameterized Nonlinear Models.

2. Network Pruning Using Adaptive Exemplar Filters.

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3. Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning.

4. Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality.

5. A Sensitivity-Based Data Augmentation Framework for Model Predictive Control Policy Approximation.

6. Class-Imbalanced Deep Learning via a Class-Balanced Ensemble.

7. Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions.

8. Adaptive Data Structure Regularized Multiclass Discriminative Feature Selection.

9. A Segment-Based Drift Adaptation Method for Data Streams.

10. Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks.

11. Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing.

12. Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models.

13. Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator.

14. Transductive Semisupervised Deep Hashing.

15. AI Takes a Dumpster Dive: Computer-vision systems sort your recyclables at superhuman speed.

16. Attract–Repel Encoder: Learning Anomaly Representation Away From Landmarks.

17. Triple-Memory Networks: A Brain-Inspired Method for Continual Learning.

18. Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond.

19. Multitask Representation Learning With Multiview Graph Convolutional Networks.

20. Sparse ℓ 1 - and ℓ 2 -Center Classifiers.

21. Multilayer Spectral–Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification.

22. Knowledge Distillation for Face Photo–Sketch Synthesis.

23. Topic-Based Instance and Feature Selection in Multilabel Classification.

24. An Ensemble Broad Learning Scheme for Semisupervised Vehicle Type Classification.

25. Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition.

26. A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process.

27. Intelligent Trainer for Dyna-Style Model-Based Deep Reinforcement Learning.

28. Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case.

29. Convolutional Neural Network With Developmental Memory for Continual Learning.

30. Robust Few-Shot Learning for User-Provided Data.

31. Self-Paced Clustering Ensemble.

32. Hardware-Algorithm Co-Design of a Compressed Fuzzy Active Learning Method.

33. Learning Salient and Discriminative Descriptor for Palmprint Feature Extraction and Identification.

34. Feedback Linearization Based on Gaussian Processes With Event-Triggered Online Learning.

35. A Network Framework for Small-Sample Learning.

36. Information Losses in Neural Classifiers From Sampling.

37. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data.

38. Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels.

39. A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.

40. A Training Data Set Cleaning Method by Classification Ability Ranking for the $k$ -Nearest Neighbor Classifier.

41. Deep Decision Tree Transfer Boosting.

42. Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning.

43. Semisupervised Discriminant Multimanifold Analysis for Action Recognition.

44. Deep Latent Low-Rank Representation for Face Sketch Synthesis.

45. Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond.

46. Learning With Annotation of Various Degrees.

47. Pool-Based Sequential Active Learning for Regression.

48. Neural-Response-Based Extreme Learning Machine for Image Classification.

49. Blind Denoising Autoencoder.

50. A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines.