The research project The Machine Learning Genome attempts to create a computer system to read scientific machine learning paper to create the first Machine Learning Database. So to say, using machine learning and other techniques to build a knowledge base.
Our computer system called MALGx (Machine Learning Genome Extractor) is reading, analyzing and structuring all machine learning papers ever published. MALGx proceeds as follows:
Since mid 2016 MALGx is developed and so far has analyzed over 6500 paper. With each new paper MALGx is learning and understanding more Machine Learning phrases and facts. You can track MALGx's progress on this website. Later, we will build a online accessible knowledge base to let you browse the Machine Learning Genome.
THE VISION. Mainly there are 2 motivations which drives us to build MALGx and The Machine Learning Genome. We can see them as short-term and long-term goals:
already converted. From dark data into structured data
Machine Learning Algorithm mentions recognized.
analyzed, structured and prepared for more inference
Till then, read a weird story...
>Interesting. No, wait, the other thing: tedious. Leela's gonna kill me. I don't want to be rescued. But, like most politicians, he promised more than he could deliver. You've killed me! Oh, you've killed me! You seem malnourished. Are you suffering from intestinal parasites? And from now on you're all named Bender Jr. Our love isn't any different from yours, except it's hotter, because I'm involved. I love you, buddy! Why, those are the Grunka-Lunkas! They work here in the Slurm factory. You, a bobsleder!? That I'd like to see! That could be 'my' beautiful soul sitting naked on a couch. If I could just learn to play this stupid thing. And I'm his friend Jesus. Calculon is gonna kill us and it's all everybody else's fault! The alien mothership is in orbit here. If we can hit that bullseye, the rest of the dominoes will fall like a house of cards. Checkmate. Oh right. I forgot about the battle. It doesn't look so shiny to me. Oh, all right, I am. But if anything happens to me, tell them I died robbing some old man. Too much work. Let's burn it and say we dumped it in the sewer.
Source: fillerama.io