xzephyr

4 ms·

1.
by xzephyr 10y ago
For the latter, a dictionary?
2.
by xzephyr 11y ago
And wave functions collapse only upon measurement...clever lazy initialization
3.
by xzephyr 11y ago
You can just have the ELO score, which is the basis for assigning dan levels: http://www.goratings.org/
4.
by xzephyr 11y ago
These CPU/GPUs are doing very inefficient digital simulations of analogue processes. If anything, human brain has significantly more 'processing power' than Alpha Go when you restrict the computation to the activation of line
5.
by xzephyr 11y ago
It is typical for ML systems to surpass human performance while having very different characteristics in what it got right/wrong. For example in ImageNet, DCNN got a lot of points from distinguishing different breeds of dogs with subtl
6.
by xzephyr 11y ago
Seconded. Another extreme example would be human brains, which I don't think we understand enough for it to be "accountable" in any mathematical bounds, yet we trust them to make complex decisions. Statistical characterizatio
7.
by xzephyr 11y ago
Brains don't do FLOPS. It is a completely different type of "calculation". Computational benchmarks are only directly comparable when the representations of input and output are the same.
8.
by xzephyr 13y ago
>Whilst it is unable to assign one symbol with multiple nouns, I think these are more engineering issues than anything. The overall architecture of NELL can be made smarter with horizontally scalable knowledge inference additions. It is
9.
by xzephyr 13y ago
Numerical Analysis is too broad for this topic. The precise category should be: https://en.wikipedia.org/wiki/Mathematical_optimization The hierarchy of topics in this area: http://en.wikipedia.org/wiki
10.
by xzephyr 13y ago
With uncertainty you just change your objective function to an evaluation function of any possible scenario scaled with its probability. It doesn't change how optimization works. Again this formulation is only easy to solve in very lim
11.
by xzephyr 13y ago
Ah, sorry no. I'm just interested in AI in general and constrained optimization has been the what I found to be the most general model for solving and giving insights into AI problems or any problems that require "intelligence&quo
12.
by xzephyr 13y ago
The so-called reason by analogy is just gradient descent to approach local optima in optmization. The "by first principle" is just providing an approximate (ideally convex) model and solve it analytically for global optima. The pr
13.
by xzephyr 14y ago
This reminds me of the difference between pointers and actual values - it is more efficient for you to memorize where the detailed and possibly complex information can be found. Memorizing all the long-winded data just doesn't give you that
14.
by xzephyr 14y ago
People in China are well-informed about all these companies overseas and often question about the Chinese version's originality. Companies like Amazon do have their own branch in China and it's not really that isolated as you seemed to sugg