Viewing profile — ai_maker
ai_maker
HN member- Joined
- Tue, Feb 10, 2015, 8:44 AM UTC
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- 21 items
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About ai_maker
Recent public activity
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Comment #13295059
There are API aggregation sites like Mashape that are already working toward this goal. My startup thing is about using learned models for text processing [1]. Quick tests are also…
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Comment #12642312
If we are to cite articles here, let me get one from Quim Monzó (a reputed catalan journalist) [1]. I'm pasting a Google translation directly here: "" Noone can stop it The latest …
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Comment #12441507
Very true, but in the real world where what's urgent goes before what's important, you are often forced to reschedule stuff, and the pen&paper approach clearly is in disadvantage h…
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Comment #11149000
Worse is better [1]. [1] https://www.jwz.org/doc/worse-is-better.html
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Comment #11109823
Ask HN: What value can makers add to ham? I feel I belong to this "new makers" wave and I'm thinking about using Artificial Intelligence to model noise (and cancel it) so as to use…
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Comment #11071307
I would say that hill climbing with random restarts works better because you must first define a cost function in a precise (and concise) symbolic mathematical way. Very much simil…
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Comment #9718751
This is an implementation in Python for the second option, but instead of word frequencies it uses word presence (a binary vector in the end): https://github.com/atrilla/vsmpy
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Comment #9530951
I love Lua and I'm doing AI with it (with a veneer of electronics). What do you have in mind?
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Comment #9125236
Good post! A bunch of mistakes is a bunch of opportunities to improve. It kind of complements Domingos' paper: http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
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Comment #9099512
Key to AI is clear. But, which is the challenge? Are we talking about predicting actually? Or is it rather about building a huge case-based reasoning system that can "replicate" kn…
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Comment #9080386
Do you have the gold standard labels of your dataset? Can you ensure that the amount of pos/neg labels is symmetrical? You can heuristically tune the weights of your lexicon to fit…
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