Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with machine-learning
Search options answers only
not deleted
user 5763
For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.
3
votes
Accepted
How do I statistically evaluate a ML model?
There are a lot of ways to evaluate the performance of an ML model. You mentioned AUROC and AUPRC. Generally you start with the confusion matrix and derive metrics such as sensitivity, accuracy, rec …
- 1,987
1
vote
Measuring logs from a picture
A good machine learning object detector, would be helpful in finding the logs but classical image processing would be required to accurately find the log profiles. Neural networks are generally not u …
- 1,987
2
votes
Regression on extreme values
I don't know of a pre-canned algorithm but I would just sweep on the angle from zero to ninety degrees with a triangular region and count the points. For each step in the sweep, record the angle and …
- 1,987
1
vote
Is it possible to do face recognition with just the eyes?
The two main eye biometrics are iris recognition and retina recognition (aka retinal scan). These are not going to work from an ordinary photo of someone's face. I have used iris recognition at abou …
- 1,987
1
vote
How can I determine whether a car in a video is moving or not?
CNNs are translation invariant.
You are over complicating the problem. The easiest thing you can do is define a region of interest (ROI) of the hood. In the first case where the car is moving and t …
- 1,987
1
vote
Accepted
What is batch / batch size in neural networks?
You are confusing two concepts, batch size and window size.
Batch Size
The concept of a batch is related to your data and not the number of neurons. A batch is just a subset of your training data …
- 1,987
2
votes
Coherence is classifying time series data
The following paper from Amazon Alexa Research refers to this topic as keyword spotting (KWS), and more specifically, to wake up words as wake word (WW) spotting.
Jose, C., Mishchenko, Y., Senechal, …
- 1,987
1
vote
Second Language for Machine Learning
I recommend that you learn SQL as your second language. Most data scientists need to pull data from SQL databases. That doesn't mean you won't have to deal with NoSQL databases, but SQL is more common …
- 1,987
2
votes
Accepted
Have machine learning techniques been used to play outdoor games, like cricket or badminton?
Yes it is possible.
A group of Chinese college students and teachers made a robot that plays badminton. I am sure someone will make a robot that can play cricket and other outside games.
Althou …
- 1,987
2
votes
I need to predict ball position from set of Images
There are so many challenges here for a novice or even a very seasoned AI developer! There hasn't been a lot of development in this area. I assume you are working with broadcast video. Your biggest …
- 1,987
2
votes
Accepted
How to design a NLP algorithm to find a food item in menu card list?
Since you want a shortcut use the spoonacular API. Below is a test with your words. You can see it had trouble with 'Coca' and 'veg'.
What you need is 'named-entity recognition' for food. This is …
- 1,987
1
vote
Accepted
Is there a way of computing a prominence score based on the prevalence of features in an image?
Saliency is typically discussed more in object detection or scene understanding than prominence. There are lots of papers on saliency models. "What do different evaluation metrics tell us about sali …
- 1,987
2
votes
Are my steps correct for a proper classification of a sick brain?
It looks like everything you want is available with the Deep Learning Toolkit (DLTK) for Medical Imaging
There is also a blog: An Introduction to Biomedical Image Analysis with TensorFlow and DLTK
T …
- 1,987
0
votes
What is the difference between the "equal error rate" and "detection cost function" metrics?
Regarding DCF, Carbonell et al. (2007) state "Although it is an excellent evaluation tool, the DCF has the limitation that it has parameters that imply a particular application of the speaker detectio …
- 1,987
2
votes
What is the difference between "ground truth" and "ground-truth labels"?
Ground Truth
'Ground truth' is that data or information that you have that is 'true' or assumed to be true. That means that you have high or perfect knowledge of what it is. For example, in your image …
- 1,987