Questions tagged [interpolation]
Interpolation is a set of methods to construct intermediate points between known points.
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Dimensionality Reduction for Function Fitting method using Kernels
I have a set of continuous noisy measurements $x_i \in R^n$ with $i=1,...,N$ for which I know the value range, i.e. $x_{min} \leq x_i \leq x_{max}$. Corresponding to the measurements, I have a set of ...
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How to apply Kalman Filter for Cleaning Timeseries Data effectively without much optimization?
Someone gave me a tip to use kalman filter for my dataset. How time intensive is it to get a good kalman filter running, compared to simple interpolation methods like
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Find the best interpolation method for missing observations
I have a database which has measurements of objects every day every hour.
However, some data is missing and I don't have measurements for all the hours.
in order to get over this challenge I have ...
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1answer
51 views
Chossing between regression models
This is the first time I attempt to use machine learning with Keras. In contrast to others I need to use one of the disadvantage of such algorithms.
I need a ...
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Kriging for spatio-temporal data
I have a geospatial dataset of air quality and I want to interpolate the air quality value across time and space for unmeasured location and time instace.
I found gstat package in R could do the ...
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32 views
empty fields to be filled with previous values
In the above sample data, I have empty fields and now the task is to fill the fields with previous values.
my columns are dates and the values are a number of items present for that particular article ...
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Is it possible retrive hourly data from daily weather data?
I'm a beginner, so sorry if my question could be basic. Reading on internet I've found example written in python that makes the reverse of my questions (covert from daily to monthly).
My problem is ...
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What is and how to calculate quartic interpolation?
I was reading the gist on the reward function used in OpenAI Five, but I didn't understand the way they calculate health's reward.
This is what they state: Hero health is scored according to a ...
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1answer
2k views
How to understand the return values of scipy.interpolate.splrep
Background
Continuation of Spline interpolation - why cube with 2nd derivative
as following Cubic Spline Interpolation in youtube. The example in the youtube is below.
Implemented using scipy....
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Regression of discrete continuous averaged data
If I have data that is continuous and discrete that is the average of a timestep. For example average power usage over the past 1 hour that is continually sampled every hour. How could I turn such ...
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32 views
Ordering scrambled 1D data sets by continuity
This is a cute little clustering problem that was probably solved a million times over, but I couldn't find a good reference for it.
I have 20 1D datasets with 400 entries each. In the picture they ...
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379 views
Sparse Data Interpolation
I have a price data set where on some days there are up to five data points and some days none at all. For example:
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573 views
Interpolation in nlp - definition of O term
Reading definition of interpolation below how are the O terms defined? Is this a value that is set manually?
Example
P( Sam | I am ) = count( Sam I am ) / count(I am) = 1 / 2
Interpolation using N-...
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Does it make sense to interpolate image just before a CNN?
I'm training a CNN with images which have lots of horizontal black lines (due to the nature of the sensor). I'm thinking in removing this artifacts by some kind of preprocessing (interpolation, median ...
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1answer
173 views
Neural net layer that preserves spatial information
I'm attempting to use a neural network as a kind of interpolator for a high-dimensional function.
We're doing this to circumvent the need for a physical model that calculates this function exactly, ...
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2answers
465 views
How to mask or crop IDW results
My question is: how can I mask or crop the results, using R, of IDW interpolation to only the area containing the original set of data points?
In the example below, 20 random points are used to ...
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1answer
33 views
Geometric weighting of temperature
I have a number of weather stations, and I know their positions. I would like to interpolate measurements from them for various other positions as a weighted average of these stations, but of course I ...
