Machine learning is a branch of Artificial Intelligence concerned with the development of algorithms that adapt their behavior based on past observations. Examples of such algorithms include Artificial Neural Networks, Genetic Algorithms, Expectation-Maximization, and Support Vector Machines. Such algorithms are used for classifying previously unseen data and predicting future values of some unknown process.
Questions tagged [machine-learning]
50 questions
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What reward function results in optimal learning?
Let's think of the following situations:
You are teaching a robot to play ping pong
You are teaching a program to calculate square root
You are teaching math to a kid in school
These situations (i.e. supervised learning), and many others have one…
Shahbaz
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Predicting the impact point of a moving object
Suppose we have a moving object (a horizontal projectile motion as one of the most basic examples). Is there any way to predict where it will hit finally? Please note that I'm looking for a machine learning method not a closed form…
a.toraby
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Motion primtive: machine learning vs. handcrafted
On Google Scholar there are a lot of papers which explain the advantages of motion primitive: instead of searching inside the state-space (configuration space of a robot) the solver has to search inside the plan space of motion primitives. Sometimes…
Manuel Rodriguez
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