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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
3
votes
When do kernel based method perform better than the regular
Just some more thoughts to previous answer:
What is Kernel or Kernel Method ?
Kernel or Positive-definite kernel is a generalization of a positive-definite matrix.In linear algebra, a symmetric n × …
9
votes
2
answers
7k
views
Clustering a noisy data or with outliers
I have a noisy data of two variables like this.
x1 <- rep(seq(0,1, 0.1), each = 3000)
set.seed(123)
y1 <- rep (c(0.2, 0.8, 0.3, 0.9, 0.65, 0.35,0.7,0.1,0.25, 0.3, 0.95), each = 3000)
set.seed(1234)
…
2
votes
1
answer
8k
views
kernels and similarity (in R)
I am trying fit different kernels to calculate similarity matrix in R. Here is example data - X matrix :
X <- matrix(rep(0,200*1000),200,1000)
set.seed(123)
for (i in 1:200) {
X[i,] <- ifelse(runif(1 …
30
votes
3
answers
14k
views
Bayesian lasso vs ordinary lasso
Different implementation software are available for lasso. I know a lot discussed about bayesian approach vs frequentist approach in different forums. My question is very specific to lasso - What are …
2
votes
1
answer
60
views
prediction of polls
Just as an example Scotland has poll to decide whether they need to be independent from UK or not. Here is BBC's summary of different polls:
http://www.bbc.com/news/events/scotland-decides/poll-track …