activate learning-Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning

時間 2021-01-04

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Active Learning Notation 本文是介紹論文Scaling Up Crowd-Sourcing to Very Large Datasets A Case for Active Learning中的AL算法。 Active learning algorithm主要由：1.一個ranker R； 2. selection strategy S；3. budget alloca

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1. Bootstrap-Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning
2. ranker-Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning
3. Very Deep Convolutional Networks for Large-Scale Image Recognition
4. 【Active Learning - 03】Adaptive Active Learning for Image Classification
5. [Active Learning] 01 A Brief Introduction to Active Learning 主動學習簡介
6. A Gentle Guide to Machine Learning
7. 【Active Learning - 05】Adversarial Sampling for Active Learning
8. VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
9. TensorFlow: A System for Large-Scale Machine Learning
10. 25 Open Datasets for Deep Learning Every Data Scientist Must Work With

>>更多相關文章<<