samwalrus

4 ms·

1.
by samwalrus 4y ago
And adapting Louise would be an interesting thing to work on for sure. Why is it called Louise?
2.
by samwalrus 4y ago
I don't have a working hyp_gen.pl anymore I think but it was just a simple search given the atoms to add to a rule and its negations.
3.
by samwalrus 4y ago
You can do cool stuff with s(CASP). See https://swish.swi-prolog.org/p/non-monotonic_ilp.swinb For an example. The potential hypothesis here are pre generated, but you can imagine an algorithm or adapt an existing one
4.
by samwalrus 7y ago
One difference is that in Machine Learning you must think of data structures and algorithms. i.e. the practical ways to compute a model. How to represent and transform data while building a model. I think this is given less emphasis in stat
5.
by samwalrus 7y ago
Check out: http://cplint.lamping.unife.it/example/inference/tile_map.pl https://www.youtube.com/watch?v=wDr7v94G_MU https://books.google.co.uk/books?hl=en&lr=&id=oaxwDwAAQB
6.
by samwalrus 7y ago
One of the interesting things about this take on Prolog vs the Power of Prolog ( https://www.metalevel.at/prolog ), is that it attempts non-monotonic reasoning. There is still a lot of value in the ideas of abductive and indu
7.
by samwalrus 8y ago
The thing is findall/3 is not really in the standard pure part of Prolog. It has the form: findall(Template,Enumerator,Instances), and can be read as: `Instances is the sequence of instances of Template which correspond to proofs of En
8.
by samwalrus 8y ago
Mendelian randomization is a good technique to start thinking about causality for epidemiological studies. This is a good paper that demonstrates the approach: https://www.nature.com/articles/srep16645 Millard, Louise
9.
by samwalrus 8y ago
I am in the uk, I just have a normal sim in the watch which I pay £10 a month for.
10.
by samwalrus 8y ago
I now only use a huawei watch 2 with LTE as my only phone. I do not pair it with a smart phone. It allows me to use google maps, call an uber and see my upcoming appointments by syncing with google. But I can't check my email, facebook
11.
by samwalrus 9y ago
I like the notion of 'context' for transfer learning. Where context can be parameterized. The idea is that you learn a general model from your available data and you are able to specialise that model to perform well when adapted
12.
by samwalrus 10y ago
I run a youtube channel called 'playing with prolog' https://www.youtube.com/channel/UCfWpIHmy5MEx2p9c_GJrE_g We demo little things that you can do in prolog. Happy to take suggestions for videos :)