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II didn't find your code in codeocean. Could you send your code to me? I want to understand your paper with your code: multi label classification with missing labels using label correlation and robot …
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When running
```python network/ethec_experiments.py
--experiment_name
test1
--experiment_dir
test1_dir
--image_dir
/ETHEC_dataset_v0.2/ETHEC_dataset/IMAGO_build_test_resized
--n_epochs
10
--…
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## Description
See screenshot.
## Expected behaviour
More space is given to the label when it breaks into multiple lines.
## Steps to reproduce
1. Go to https://ourworldindata.org/graph…
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# Structuring Machine Learning Projects - Week 2. ML strategy (2)
## 주요 개념
- Understand what `multi-task learning` and `transfer learning` are
- Recognize bias, variance and `data-mismatch` by lo…
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https://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai15albl.pdf
Pool-based active learning is an important technique that helps reduce labeling efforts within a pool of unlabeled instances. Currently, …
leo-p updated
7 years ago
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- [Machine learning in automated text categorization](http://dl.acm.org/citation.cfm?id=505283)
- [A comparative study on feature selection in text categorization](http://www.surdeanu.info/mihai/teach…
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# Face recognition
---
# Face verification vs. face recognition
## Verification (Binary Classification)
- Input image, name/ID
- Output whether the input image is that of the claimed person
## R…
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## Reference
- [Multitask-Learning](https://github.com/mbs0221/Multitask-Learning)
## Brief
- 图像分类任务
- **二分类**
- **多分类**
- **多标签分类**: 一张图像多个标签(标签为二分类)
- **Multi-Ouput&Multi-Task*…
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I can add a housing prediction model to your repo , which is a end to end model explaining the extended approach of implementing such models.
-from data cleaning to testing multi-models it is a elab…
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你好！请问为什么我的代码数据都和测试数据一样了，但是还是报出以下错误？能帮助我吗？谢谢！
Args in experiment:
Namespace(model='informer', data='ETTh1', root_path='./data/', data_path='ETTh1.csv', features='M', target='OT', freq='d', checkpoint…