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Abstract + Mining Gold! #13
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apoorvagnihotri committed Apr 17, 2020
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<h1>Mining Gold!</h1>
<p>
Let's start with the example of gold mining. Our goal is to mine for gold in a new, unknown land<d-footnote>Interestingly, our example is similar to one of the first use of Gaussian Process (GP) (also called kriging)<d-cite key="goldKridge"></d-cite>, where Prof. Krige modelled gold concentrations using GPs.</d-footnote>.
Let us start with the example of gold mining. Our goal is to mine for gold in a new, unknown land<d-footnote>Interestingly, our example is similar to one of the first use of Gaussian Process (GP) (also called kriging)<d-cite key="goldKridge"></d-cite>, where Prof. Krige modelled gold concentrations using GPs.</d-footnote>.
For now, let us make a simplifying assumption, the gold content lies in a one-dimensional space, i.e., we are talking about gold distribution only about a line. We want to find the location along this line with the maximum gold while only drilling a few times (as drilling is expensive).
</p>
<p>
Initially, we have no idea about the gold distribution. The only way to learn the gold distribution to drill at different locations. However, this drilling is costly. Thus, we want to <strong>minimize the number of drillings required</strong> while still <strong>finding the location of maximum gold quickly</strong>.
Initially, we have no idea about the gold distribution. The only way to learn it is to drill at different locations. However, this drilling is costly. Thus, we want to <strong>minimize the number of drillings required</strong> while still <strong>finding the location of maximum gold quickly</strong>.
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<p>
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<p>
<strong>Problem 1: Best Estimate of Gold Distribution (Active Learning)</strong><br/>
Here we want to estimate the amount of gold on the one-dimensional line. We can not drill at every location due to the prohibitive cost. Instead, we should drill at those locations that provide us with the <strong>maximum information</strong> about the distribution of the gold. This problem is akin to
Here we want to estimate the amount of gold on the one-dimensional line, using a small number of drillings. We can not drill at every location due to the prohibitive cost. Instead, we should drill at those locations that provide us with the <strong>maximum information</strong> about the distribution of the gold. This problem is akin to
<strong>
active learning<d-cite key="settles2009active,Tong2001"></d-cite>
</strong>.
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