We’re rewarding the question askers & reputations are being recalculated! Read more.

Questions tagged [novelty-detection]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
11
votes
1answer
17k views

What is one class SVM and how does it work?

I was using one class SVM, implemented in scikit-learn, for my research work. But I have no good understanding of this. Can anyone please give a simple, good explanation of one class SVM?
6
votes
3answers
642 views

Power martingales for change detection: M goes to zero?

I'm trying to apply the power martingale framework by [Vovk et al., 2003] to change detection in unlabeled data streams, just like in [Ho and Wechsler, 2007]. The basic idea involves using a power ...
6
votes
1answer
131 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 ...
4
votes
2answers
7k views

Parameter optimization in one-class SVM of LibSVM

I am new to machine learning and SVMs. I have a general question regarding the optimization of parameters in one-class SVM in libsvm in R. I found similar posts but yet not conclusive answer. Can ...
4
votes
1answer
1k views

Is a one class naive bayes possible?

I have a simple question - I think. I have recently read a paper: https://www.google.co.uk/url?sa=t&source=web&rct=j&url=http://www.cs.columbia.edu/~kewang/paper/DMSEC-camera.pdf&ved=...
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
1answer
4k views

Clustering based anomaly detection

I'm trying to implement anomaly detection based on clustering. I'm hopping for confirmation of my approach, and I'm exposing my idea, being aware that I could have miss something in my analysis, so ...
1
vote
1answer
37 views

Is it OK to have only a single class labels in test data for prediction with one-class-svm?

I have a data which has only a single class, namely, '0'. There is no 'not 0' class. The one-class SVM model was trained on a <...
1
vote
2answers
1k views

Novelty and Outlier Detection for Multi-label Data

I met a problem of using novelty and outlier detection for my multi-label data. For example, I have got some training data that is not polluted by outliers. However, the training data are with multi-...
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
1answer
801 views

Time series analysis (removing effect of external factor)

I'm currently working on detecting the response from a sensor with the following profile: The sensor responds to temperature fluctuations and I was wondering if y'all could suggest methods to "remove"...
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 ...