Tag Archives: definition

SO(3) vs. so(3)

Posted on May 17, 2017 by machinelearning1

SO(3) – Definition The set of all rotation matrices, , which satisfy the following two properties is denoted , The notation refers to Special Orthogonal. More generally, we can define the space of rotation matrices in by so(3) – Definition … Continue reading →

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Likelihood : A simple definition

Posted on May 18, 2014 by machinelearning1

Toss a coin 100 times, and consider you get 80 times heads (we call it success here). Then L(0.7) is: How likely is to observe 80 times head out of tossing a coin 100 times if the true probability of … Continue reading →

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What is Metaheuristic?

Posted on May 27, 2013 by machinelearning1

Definition (Metaheuristic). A metaheuristic is a method for solving very general classes of problems. It combines objective functions or heuristics in an abstract and hopefully efficient way, usually without utilizing deeper insight into their structure, i. e., by treating them as black-box-procedures.

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Rewards VS. Values (in the concept of Reinforcement Learning)

Posted on March 20, 2012 by machinelearning1

In the concept of Reinforcement Learning, we usually deal with two pretty similar keywords, reward and value, that can be confusing for beginners. In this brief post, I will mention the differences and actual definitions of these terms. Rewards are … Continue reading →

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