Inductive Logic Programming (ILP) is a form of Machine Learning. The goal of ILP is to induce a hypothesis, as a set of logical rules, that generalises training examples. This project is intended to ...
Abstract: Despite recent advances in modern machine learning algorithms, the opaqueness of their underlying mechanisms continues to be an obstacle in adoption. To instill confidence and trust in ...
And how to catch up if you’re lagging behind by Ajay Agrawal, Joshua Gans and Avi Goldfarb The past decade has brought tremendous advances in an exciting dimension of artificial intelligence—machine ...
There are only half a dozen classes you really need to master to become competent in the world of functional programming. The java.util.function package contains well over 40 different components, but ...
Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...
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Inductive logic programming [24] is situated in the intersection of machine learning or data mining on the one hand, and logic programming on the other hand. It shares with the former fields the goal ...
Inductive logic is based upon gathering evidence until you have acquired enough data to make an ECG interpretation. The challenge with utilizing inductive logic is you may not acquire the piece and/or ...
This Research Topic is based on outputs from the workshop 'Robots that Learn and Reason' at the International Conference on Intelligent Robots (IROS) 2018. However, we would also welcome spontaneous ...
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