fixes

thesis/sections/appendix.tex

@@ -21,7 +21,7 @@ and after-OV (0.0833) all occurring at 20 days.
 The \textbf{Convolutional Transformer} performs best overall at 40 days and best before ovulation at 160 days (MSE 0.0286).
 See Table~\ref{tab:ovover_windows_compact_mse} for a summary.
 
-\begin{table}[t]
+\begin{table}[htbp]
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@@ -68,7 +68,7 @@ with lowest before-OV MSE at 12/day (0.0255) and after-OV MSE at 288/day (0.0578
 Results are summarized in Table~\ref{tab:ovover_resolution_compact_mse};
 full resolution grids are in Appendix Table~\ref{tab:ov_over_results_by_resolution}.
 
-\begin{table}[t]
+\begin{table}[htbp]
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@@ -110,7 +110,7 @@ Finally, the \textbf{Convolutional Transformer} achieves its lowest overall and
 Table~\ref{tab:ovover_params_compact_mse} summarizes these parameter-dependent results;
 full comparisons are included in Appendix Tables~\ref{tab:ov_over_results_by_model_parameters_lstm}–\ref{tab:ov_over_results_by_model_parameters_conv_transformer}.
 
-\begin{table}[t]
+\begin{table}[htbp]
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@@ -198,7 +198,7 @@ As before, all learned models outperform the baselines by a wide margin.
 The full table with MSE and MAE for all models can be found in the appendix, Table~\ref{tab:regular_vs_irregular_ov_over_results}.
 
 
-\section{Extra Figures}\label{app:figs}
+\section{Extra Tables}\label{app:tabs}
 
 \begin{landscape}
     \begin{table}