Questions tagged [novelty-detection]
The novelty-detection tag has no usage guidance.
7
questions with no upvoted or accepted answers
6
votes
1answer
130 views
Detecting changes in large number of time-series that share seasonality
I have large number of time-series that are independent of each other, but share some seasonality patterns. I need to detect anomalies/changes (increased volume, change in mean), that appear in the ...
2
votes
1answer
4k views
Best way to train one-class SVM
Let`s say I have training data which contains 10 classes and have build a classifier using this data.
When applying this classifier in real life it may encounter examples not belong to the classes ...
1
vote
2answers
132 views
How to choose a method for binary classifier based on only positive and unlabelled examples?
I need to build a binary classifier with machine learning, as I fail to manually choose a combination of features to achieve minimal fraction of false positives.
What is best practice for choosing a ...
1
vote
0answers
57 views
Weighting loss function using Voronoi-tessellation of response space
Let's say you have some Real-valued features $\mathbf{X}$ and Real-valued univariate responses $\mathbf{y}$. We want to fit a regression model to this data:
$$\mathbf{y} = f\left(\mathbf{X};\beta\...
0
votes
0answers
62 views
LocalOutlierFactor scikit-learn
My goal is to use the LocalOutlierFactor class from scikit-learn to do real-time Novelty Detection. This can be achieved by setting novelty=True in the constructor, ...
0
votes
0answers
50 views
Are Novelty Effects accounted for in Power Analysis?
I'm a bit a new hypothesis testing, so I hope that this question makes sense. Say that I proposed a new treatment (like a new drug or something) and I wanted to test whether this drug was effective or ...
0
votes
0answers
732 views
Novelty and Outlier Detection in Unsupervised Learning Style
Currently I am looking for some method to do novelty and outlier detection. I found some good example here using scikit-learn (Link1). However, it is based on supervised learning and I believe the ...
