Row 6299
Content Data
This page contains data entry 6299 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Hey everyone,
So I was reading a plethora of approaches, especially regarding research done in Multivariate Time Series and real-time Human Activity Recognition (HAR). Though, I recently stumbled upon [Eamonn Keogh’s](https://www.cs.ucr.edu/~eamonn/) amazing and comprehensive work on Matrix Profiles and ended up in a rabbit hole.
But out of curiosity, in general how does the Matrix Profile compare with Deep Learning methods (e.g. MLP, LSTM, etc..) in the context of Multivariate Time Series and real-time streams of data?
I would love to hear other people’s perspectives!
| Field | Value |
|---|---|
| text | Hey everyone, So I was reading a plethora of approaches, especially regarding research done in Multivariate Time Series and real-time Human Activity Recognition (HAR). Though, I recently stumbled upon [Eamonn Keogh’s](https://www.cs.ucr.edu/~eamonn/) amazing and comprehensive work on Matrix Profiles and ended up in a rabbit hole. But out of curiosity, in general how does the Matrix Profile compare with Deep Learning methods (e.g. MLP, LSTM, etc..) in the context of Multivariate Time Series an… |
| label | r/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| datetime | 2024-05-09 |
| username_encoded | Z0FBQUFBQm5LakwycXJJVVRrU2JPdlA5NzF2XzU2NWVjM0t5VkZfcXpnTHZEUHp0dUdncmdPVldmd0NXQWtNSmRlZnJRSzg4QlVjbTNkY3F4WnZhS25yUGM4bmFIWk4xNVE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9HNXNLZ2JBcmRVUlN5UmFxcl9XdkR5V1VDZWk3cmg4eXlQcFhrRzFWOHlZeVY3SkQ5cG5UQzRKY1V0T0VJaFpTa2tRZVc3U2hIaVQ0cklVSXhOVHBaeGl3THlGZkN5UTlvdnBsbEhETXVEQnNHZzBlaDZiMkpxdmJEZEZRNmRaazZLZTYzYkZXT3l1WmZMTy1XbjZuckc4bzBhd1VhWVRnYkx6aF82ZG9wSEVDVVF3T2VLR1huNi1XRXVhRmV5c003V2RwNzRBMHdrRGxGX2s0TTM1WVEzUT09 |
Raw Record
{
"text": "Hey everyone,\n\nSo I was reading a plethora of approaches, especially regarding research done in Multivariate Time Series and real-time Human Activity Recognition (HAR). Though, I recently stumbled upon [Eamonn Keogh’s](https://www.cs.ucr.edu/~eamonn/) amazing and comprehensive work on Matrix Profiles and ended up in a rabbit hole. \n\nBut out of curiosity, in general how does the Matrix Profile compare with Deep Learning methods (e.g. MLP, LSTM, etc..) in the context of Multivariate Time Series and real-time streams of data? \n\nI would love to hear other people’s perspectives!",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-05-09",
"username_encoded": "Z0FBQUFBQm5LakwycXJJVVRrU2JPdlA5NzF2XzU2NWVjM0t5VkZfcXpnTHZEUHp0dUdncmdPVldmd0NXQWtNSmRlZnJRSzg4QlVjbTNkY3F4WnZhS25yUGM4bmFIWk4xNVE9PQ==",
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}
Entry Information
- Entry ID: 6299
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000