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Questions tagged [difference]

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1answer
37 views

Which method to use to remove trend from time series?

From what I understand, differencing is necessary to remove the trend and seasonality of a time series. So I assumed it basically does the same thing as signal.detrend from the scipy library. But I ...
0
votes
0answers
73 views

Algorithms for change detection in images

I'm wondering why people use complex CNNs like in Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks in order to find the ...
5
votes
2answers
136 views

Feeding 3 consecutive video frames to a CNN to track a tennis ball

I want to use CNN transfer learning to track a tennis ball from TV broadcasts of tennis matches. I used VGG annotating tool annotation tool link (use version 1 of the tool for compatibility with ...
0
votes
1answer
6k views

dataframe.columns.difference() use

I am trying to find the working of dataframe.columns.difference() but couldn't find a satisfactory explanation about it. Can anyone explain the working of this ...
4
votes
1answer
46 views

Why my results have time delay when I use LSTM?

I am trying to fit and test LSTM on a numeric series(like stock prices). But it seems that I always get a lag in predicted graph(Blue) with respect to real graph(red). Does anyone know why this ...
3
votes
1answer
759 views

What is the difference between bootstrapping and sampling in reinforcement learning?

I have come across a David Silver's slide which contains both the terms "bootstrapping" and "sampling". Is there any realistic example which helps me to understand the concepts better.
3
votes
1answer
1k views

What is difference between Bayesian Networks and Belief Networks?

While reading some articles about Bayesian Networks, I came across many occurrences of Belief Networks. Do both of these terms mean the same thing or is there any difference between Bayesian Networks ...