kshitijl

4 ms·

1.
by kshitijl 9y ago
In the event of liquidation, shareholders are on the list of those owed a portion of the proceeds. In fact they are last on the list, after creditors (those who have loaned the company money directly), bondholders (bonds are a form of debt)
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by kshitijl 9y ago
Can't you always lower the brightness in software, at the OS/driver level? Unless you're saying that this compresses the dynamic range of brightnesses too much, to the point where you can't distinguish shades that you ne
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by kshitijl 10y ago
The studied circumspection in his responses to questions about Trump amused me. But I noticed that he said "the kind of leadership those voters wanted" (emphasis mine).
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by kshitijl 10y ago
This is what New York still feels like to me, 4 years after moving here. Don't own a car, hope I never have to.
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by kshitijl 10y ago
For people familiar with Gaussian Processes, it may help to think of Kalman filters as a special case of GPs where you can construct the inverse of the covariance matrix directly, and this inverse has a tridiagonal structure. Thus, a really
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by kshitijl 10y ago
The whole point is that it enables spam, broadly interpreted to include unsolicited mail of all kinds.
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by kshitijl 11y ago
I am also very interested in knowing what to do when the dimension of the input space can vary. For example, suppose that I'm interested in learning 4-body gravitational motion using 3-body training data ie. predict total energy of a s
8.
by kshitijl 11y ago
Ahh thanks, this line > Notice that both the polynomial and kernel methods have less than N terms which are nonzero, but [...] starts to answer my worry a little bit. It really is not the case that there are N true degrees of freedom, we
9.
by kshitijl 11y ago
With N parameters for N data points I have far, far too many degrees of freedom and have grossly overfit my training set. The only way to guarantee good generalization outside one's training set is to have a lot of data compared to the
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by kshitijl 11y ago
I am familiar with basic regression theory and numerical optimization; I have a qualitative understanding of VC bound. Given this background: What is the number of parameters in a GP model? A parametric regression/classification model
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by kshitijl 11y ago
Did you read the Wikipedia article you link to? This has everything to do with memoizing the result of running compilation programs (function) on input files (arguments). The "trick" here is using strace to figure out the complete
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by kshitijl 12y ago
A long time ago I worked on the modified ejabberd servers that provide this service. A shame indeed.