Merge pull request #213 from chhoumann/acknowledgements

add acknowledgements

report_thesis/src/index.tex

@@ -1,5 +1,3 @@
-%% TODO: Summary of the report here (1-2 pages)
-
 \newpage
 
 \input{sections/summary.tex}
@@ -16,7 +14,9 @@
 
 \maketitle
 
-\subsubsection*{Acknowledgements:}
+\subsubsection*{Acknowledgements:} We would like to thank our supervisors Daniele Dell'Aglio and Juan Manuel Rodriguez for their guidance and support throughout this project.
+We also thank our external supervisor Jens Frydenvang for his guidance as a domain expert from the ChemCam team, as well as volunteering his time to provide feedback on our work.
+Furthermore, we extend our gratitude to Ryan B. Anderson and Travis S. Gabriel for their invaluable discussions regarding calibration and quantification based on \gls{libs} data. We also thank them for the opportunity to contribute to \gls{pyhat}.
 
 \input{sections/introduction.tex}
 \input{sections/related_work.tex}

report_thesis/src/sections/experiments/index.tex

@@ -1,6 +1,7 @@
 \section{Experiments \& Results}\label{sec:methodology}
 This section outlines the experimental design used to identify the top-$n$ models to be used for our stacking ensemble.
 We begin with a description of the prerequisite data preparation necessary for all experiments, followed by an overview of the hardware and software used.
+Then we provide a visual and statistical analysis to confirm that our data partitioning method works as intended, and effectively separates the extreme and non-extreme values.
 Next, we outline the design of our initial experiment, which provides a preliminary assessment of the models selected in Section~\ref{sec:model_selection}.
 The results of this initial experiment are then presented and discussed.
 We then describe the design of our main experiment.