From f8321bf8354b296bb26d069db2f74a0a18bfd2d7 Mon Sep 17 00:00:00 2001
From: Alexander Hess <alexander@webartifex.biz>
Date: Sun, 25 Oct 2020 18:25:53 +0100
Subject: [PATCH] Remove dots in sub-sub-sections

---
 tex/2_lit/2_class/2_ets.tex   | 2 +-
 tex/2_lit/2_class/3_arima.tex | 2 +-
 tex/2_lit/2_class/4_stl.tex   | 2 +-
 tex/2_lit/3_ml/2_learning.tex | 2 +-
 tex/2_lit/3_ml/3_cv.tex       | 2 +-
 tex/2_lit/3_ml/4_rf.tex       | 2 +-
 tex/2_lit/3_ml/5_svm.tex      | 2 +-
 tex/3_mod/7_models/2_hori.tex | 2 +-
 tex/3_mod/7_models/3_vert.tex | 2 +-
 tex/3_mod/7_models/4_rt.tex   | 2 +-
 tex/3_mod/7_models/5_ml.tex   | 2 +-
 11 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/tex/2_lit/2_class/2_ets.tex b/tex/2_lit/2_class/2_ets.tex
index 6db9781..53537da 100644
--- a/tex/2_lit/2_class/2_ets.tex
+++ b/tex/2_lit/2_class/2_ets.tex
@@ -1,4 +1,4 @@
-\subsubsection{Na\"{i}ve Methods, Moving Averages, and Exponential Smoothing.}
+\subsubsection{Na\"{i}ve Methods, Moving Averages, and Exponential Smoothing}
 \label{ets}
 
 Simple forecasting methods are often employed as a benchmark for more
diff --git a/tex/2_lit/2_class/3_arima.tex b/tex/2_lit/2_class/3_arima.tex
index d55ffd8..3432b7e 100644
--- a/tex/2_lit/2_class/3_arima.tex
+++ b/tex/2_lit/2_class/3_arima.tex
@@ -1,4 +1,4 @@
-\subsubsection{Autoregressive Integrated Moving Averages.}
+\subsubsection{Autoregressive Integrated Moving Averages}
 \label{arima}
 
 \cite{box1962}, \cite{box1968}, and more papers by the same authors in the
diff --git a/tex/2_lit/2_class/4_stl.tex b/tex/2_lit/2_class/4_stl.tex
index 127123c..39c987a 100644
--- a/tex/2_lit/2_class/4_stl.tex
+++ b/tex/2_lit/2_class/4_stl.tex
@@ -1,4 +1,4 @@
-\subsubsection{Seasonal and Trend Decomposition using Loess.}
+\subsubsection{Seasonal and Trend Decomposition using Loess}
 \label{stl}
 
 A time series $y_t$ may exhibit different types of patterns; to fully capture
diff --git a/tex/2_lit/3_ml/2_learning.tex b/tex/2_lit/3_ml/2_learning.tex
index 86d157a..5e7c2bc 100644
--- a/tex/2_lit/3_ml/2_learning.tex
+++ b/tex/2_lit/3_ml/2_learning.tex
@@ -1,4 +1,4 @@
-\subsubsection{Supervised Learning.}
+\subsubsection{Supervised Learning}
 \label{learning}
 
 A conceptual difference between classical and ML methods is the format
diff --git a/tex/2_lit/3_ml/3_cv.tex b/tex/2_lit/3_ml/3_cv.tex
index 1d5186b..abfdebc 100644
--- a/tex/2_lit/3_ml/3_cv.tex
+++ b/tex/2_lit/3_ml/3_cv.tex
@@ -1,4 +1,4 @@
-\subsubsection{Cross-Validation.}
+\subsubsection{Cross-Validation}
 \label{cv}
 
 Because ML models are trained by minimizing a loss function $L$, the
diff --git a/tex/2_lit/3_ml/4_rf.tex b/tex/2_lit/3_ml/4_rf.tex
index 784d2a7..eeb7161 100644
--- a/tex/2_lit/3_ml/4_rf.tex
+++ b/tex/2_lit/3_ml/4_rf.tex
@@ -1,4 +1,4 @@
-\subsubsection{Random Forest Regression.}
+\subsubsection{Random Forest Regression}
 \label{rf}
 
 \cite{breiman1984} introduce the classification and regression tree
diff --git a/tex/2_lit/3_ml/5_svm.tex b/tex/2_lit/3_ml/5_svm.tex
index 1c12af5..528fe9e 100644
--- a/tex/2_lit/3_ml/5_svm.tex
+++ b/tex/2_lit/3_ml/5_svm.tex
@@ -1,4 +1,4 @@
-\subsubsection{Support Vector Regression.}
+\subsubsection{Support Vector Regression}
 \label{svm}
 
 \cite{vapnik1963} and \cite{vapnik1964} introduce the so-called support vector
diff --git a/tex/3_mod/7_models/2_hori.tex b/tex/3_mod/7_models/2_hori.tex
index 5d5959a..21cc627 100644
--- a/tex/3_mod/7_models/2_hori.tex
+++ b/tex/3_mod/7_models/2_hori.tex
@@ -1,4 +1,4 @@
-\subsubsection{Horizontal and Whole-day-ahead Forecasts.}
+\subsubsection{Horizontal and Whole-day-ahead Forecasts}
 \label{hori}
 
 The upper-left in Figure \ref{f:inputs} illustrates the simplest way to
diff --git a/tex/3_mod/7_models/3_vert.tex b/tex/3_mod/7_models/3_vert.tex
index 5459b81..43aaaf1 100644
--- a/tex/3_mod/7_models/3_vert.tex
+++ b/tex/3_mod/7_models/3_vert.tex
@@ -1,4 +1,4 @@
-\subsubsection{Vertical and Whole-day-ahead Forecasts without Retraining.}
+\subsubsection{Vertical and Whole-day-ahead Forecasts without Retraining}
 \label{vert}
 
 The upper-right in Figure \ref{f:inputs} shows an alternative way to
diff --git a/tex/3_mod/7_models/4_rt.tex b/tex/3_mod/7_models/4_rt.tex
index 75122cc..6fa038d 100644
--- a/tex/3_mod/7_models/4_rt.tex
+++ b/tex/3_mod/7_models/4_rt.tex
@@ -1,4 +1,4 @@
-\subsubsection{Vertical and Real-time Forecasts with Retraining.}
+\subsubsection{Vertical and Real-time Forecasts with Retraining}
 \label{rt}
 
 The lower-left in Figure \ref{f:inputs} shows how models trained on vertical
diff --git a/tex/3_mod/7_models/5_ml.tex b/tex/3_mod/7_models/5_ml.tex
index 26f22a6..7ca00c4 100644
--- a/tex/3_mod/7_models/5_ml.tex
+++ b/tex/3_mod/7_models/5_ml.tex
@@ -1,4 +1,4 @@
-\subsubsection{Vertical and Real-time Forecasts without Retraining.}
+\subsubsection{Vertical and Real-time Forecasts without Retraining}
 \label{ml_models}
 
 The lower-right in Figure \ref{f:inputs} shows how ML models take