Questions tagged [kernel-mean-embedding]
6 questions
6
votes
1 answer
Kernel Mean Embedding relationship to regular kernel functions
I am struggling to understand kernel mean embeddings and how it relates to typical kernel functions.
Review of Kernel Basics:
Basically, a kernel function maps points (or vectors) from one feature space to another space. The idea is that this new…
guy
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- 19
6
votes
1 answer
Earth Movers Distance and Maximum Mean Discrepency
By Kantorovich-Rubinstein duality the Earth Movers Distance (EMD)/Wasserstein Metric is equivalent to Maximum Mean Discrepancy (MMD) correct? See here for a more thorough explanation. Why then does the original Kernel MMD paper compare their…
www3
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2
votes
0 answers
Maximum Mean Discrepancy Implementation
I am just beginning to learn about MMD as a way to measure the difference between two probability distributions using this tutorial. I want to implement it code-wise but I don't understand it empirically.
At a high level, it seems to be applying the…
guy
- 523
- 4
- 19
1
vote
1 answer
How to solve Error in lme?
#AODtoPM2.5
library(readxl)
library(emmeans)
library(sjstats)
library(lme4)
library(lmerTest)
library(MuMIn)
library(nlme)
library(factoextra)
library(tidyverse)
data <- file.choose()
AQ1=read.csv("Sakon.csv")
# divide the months into four…
user313026
- 23
- 2
0
votes
0 answers
Pytorch Geometric AssertionError
I’m learning to use PyTorch Geometric, I tried to replicate the WL kernel written by the PyG developers on GitHub (pytorch_geometric/wl_kernel.py at master · pyg-team/pytorch_geometric · GitHub), but when i run the program I get this error which I…
Gianmarco Luchetti
- 111
- 1
0
votes
0 answers
how to create mean svm model (in R)?
I am using the ksvm function from the library kernlab to generate an
SVM classification. I am running the model with k-mean
cross-validation, thus obtaining different accuracy.
Is it possible to merge the different models obtained with the
separate…
Gigiux
- 139
- 6