If you want to emboss your tags, do it now.
The tags recorded hundreds of data points per second, then detached for recovery after about 10 hours.
Because Tile products rely on Bluetooth LE, U1-equipped smartphones and locator tags would be more accurate at finding a precise location.
While the app itself is free to download, users pay a fee for verification as well as a fee to obtain tags to insert in the sneaker after two free initial tags.
The phone would recognise the tags but fail to connect to the TV.
Poor use of alt tags in the website will prevent some users from accessing all the data.
They weren't shown the existing tags (neither machine-generated or user-generated tags) and started from a blank slate.
The tags weren’t perfect, and so we decided to see if users of the archive could help improve it by voting tags up or down.
By requiring players to match tags we are, hopefully, validating that those tags are in some way relevant or descriptive to the song.
Only 16% of these top tags were ‘machine tags’ with ‘user tags’ or ‘editorial tags’ coming out on top.
Fionntán: "I found salience and relevance do similar on predicting important tags, but salience much better at predicting if tags are unimportant.
Sure, these tags look more like something that would appeal to children, but you can channel your inner child with these fun luggage tags to get extra excited for your next on-the-go adventure.
For now, we only have the Galaxy S10 price tags to work from, and the price tags in general of high-end Android phones, so we're expecting the Galaxy S20 phones to be priced between $750 and $1,100.
Adding tags makes up only a small percentage of the actions, owing in part to the high number of tags presented to users, which other studies have shown leads to fewer new tags being added.
The main difference between the two is that passive tags have an RFID antenna and a microchip for storing information, while active tags have their own battery power and can sometimes include additional sensors.
The tags presented to the participants were a mixture of ‘user tags’ generated from a previous paper based experiment and ‘machine tags’ generated algorithmically using speech to text software and DBpedia.
In this case, precision is what percentage of the created tags are found in the ground truth (as generated by the archivists) and recall is what percentage of the ground truth tags were found in the created tags.
The tagging data that we do capture from the game is used to create links inside the Mooso site so matching tags and artists are used to create links between tag pages and artist pages on the site creating an interconnecting web of music, songs, tags and bands.
By examining the tags that provoked the most extreme user split (in the region of a 50% split on agrees and disagrees), we can identify some common trends or properties and identify the types of tags that are more difficult to achieve consensus on, and perhaps explain why.
Over time we would hope that the overall quality of tags would improve and therefore we'd expect to see the up votes trend upwards (people would tend to agree with the tags more often as the tag quality improves), down votes trend downwards (as people see fewer tags to disagree with) and additions trend down (as the list of existing tags becomes more comprehensive).
On this page, there are 20 sentence examples for tags. They are all from high-quality sources and constantly processed by lengusa's machine learning routines.
Just use the " " button to fragment sentence examples and start your learning flow.
Example output from one of your searches:
Over time we would hope that the overall quality of tags would improve and therefore we'd expect to see the up votes trend upwards people would tend to agree with the tags more often as the tag quality improves down votes trend downwards as people see fewer tags to disagree with and additions trend down as the list of existing tags becomes more comprehensive