Ben
• Member for 8 years, 3 months
• Last seen more than a month ago

What you've described is not gradient descent. It's the Perceptron learning algorithm. Additionally, the perceptron algorithm doesn't learn the separating line of maximum margin as is the case with ...

I'll throw my hat into the ring. Read / listen to multiple explanations from different people. Master the Perceptron before you attempt to learn Multilayer Perceptrons (i.e neural networks) As you ...

With some help from @whuber and @Lucas Prates, I've put together this solution (which is pretty close to @whuber's solution). My general approach is to use maximum likelihood estimation in the ...

After realizing this is bubble sort, I found the answer here. $$\frac{n(n-1)}{4}$$

I always found ecdf() to be a little confusing. Plus I think it only works in the univariate case. Ended up rolling my own function for this instead. First install data.table. Then install my package,...

I'm not familiar with a proof, but the general concept is known as Sampling bias.

$ξ_i$ is like the distance you're going to allow the ith point to fall inside the margin. If it is 0, you're not allowing it in the margin. If it is positive you're allowing it to fall inside the ...

Following rightskewed's hints... library(quadprog) # min(−dvec^T b + 1/2 b^T Dmat b) with the constraints Amat^T b >= bvec) Dmat <- matrix(rep(0, 3*3), nrow=3, ncol=3) diag(Dmat) <- 1 ...