From 90bc4978f4c1160c1c3b720c43eca83bc859e463 Mon Sep 17 00:00:00 2001
From: Petr Baudis <pasky@ucw.cz>
Date: Tue, 9 Mar 2010 23:13:24 +0100
Subject: [PATCH] tex: Expert knowledge - add table with input

---
 tex/gostyle.tex | 75 ++++++++++++++++++++++++++++++++++++++++++++++++---------
 1 file changed, 63 insertions(+), 12 deletions(-)

diff --git a/tex/gostyle.tex b/tex/gostyle.tex
index 45bab8c..0ab0548 100644
--- a/tex/gostyle.tex
+++ b/tex/gostyle.tex
@@ -38,6 +38,8 @@
   % \DeclareGraphicsExtensions{.eps}
 \fi
 
+\usepackage{threeparttable}
+
 \usepackage{algorithm}
 \usepackage{algorithmic}
 %\usepackage{algpseudocode}
@@ -747,18 +749,12 @@ bla bla bla
 In order to provide a reference frame for our style analysis,
 we have gathered some expert-based information about various
 traditionally perceived style aspects.
-Three high-level Go players (Alexander Dinerstein 3-pro, Motoki Noguchi
-7-dan and V\'{i}t Brunner 4-dan) have judged style of several Go
-professionals -- we call them \emph{reference playerse} -- chosen for both
-being well-known within the community and having large number of played games in our collection.
-
 This expert-based knowledge allows us to predict styles of unknown players based on
 the similarity of their pattern vectors, as well as discover correlations between
 styles and proportions of played patterns.
 
-Experts were asked to assign each of player's style a number
-on a scale from 1 to 10. These are interpreted
-as shown in the table below.
+Experts were asked to mark each style aspect of the given players
+on the scale from 1 to 10. The style aspects are defined as shown:
 
 \vspace{4mm}
 \noindent
@@ -769,10 +765,10 @@ as shown in the table below.
 \hline
 \multicolumn{3}{|c|}{Styles} \\ \hline
 Style & 1 & 10\\ \hline
-Territoriality & Moyo & Territorial \\
-Orthodoxity & Classic & Novel \\
-Aggressivity & Calm & Figting \\
-Thickness & Safe & Shinogi \\ \hline
+Territoriality $\tau$ & Moyo & Territorial \\
+Orthodoxity $\omega$ & Classic & Novel \\
+Aggressivity $\alpha$ & Calm & Figting \\
+Thickness $\theta$ & Safe & Shinogi \\ \hline
 \end{tabular}
 \end{center}
 %\end{table}
@@ -782,6 +778,61 @@ Averaging this expert based evaluation yields
 \emph{reference style vector} $\vec s_r$ (of dimension $4$) for each player $r$
 from the set of \emph{reference players} $R$.
 
+Three high-level Go players (Alexander Dinerstein 3-pro, Motoki Noguchi
+7-dan and V\'{i}t Brunner 4-dan) have judged style of several Go
+professionals -- we call them \emph{reference playerse} -- chosen for both
+being well-known within the community and having large number of played games in our collection.
+Mean standard deviation of the answers is 0.952,
+making the data reasonably reliable,
+though much larger sample would of course be more desirable.
+The complete list of answers is in Table \ref{style_marks}.
+
+\begin{table}[!t]
+\label{style_marks}
+% increase table row spacing, adjust to taste
+\renewcommand{\arraystretch}{1.3}
+\begin{threeparttable}
+\caption{Style Aspects of Selected Professionals\tnote{1}}
+\centering
+% Some packages, such as MDW tools, offer better commands for making tables
+% than the plain LaTeX2e tabular which is used here.
+\begin{tabular}{|c||c||c||c||c|}
+\hline
+Player & $\tau$ & $\omega$ & $\alpha$ & $\theta$ \\
+\hline
+Yoda Norimoto        & $6.3 \pm 1.7$ & $4.3 \pm 2.1$ & $4.3 \pm 2.1$ & $3.3 \pm 1.2$ \\
+Yi Se-tol            & $5.3 \pm 0.5$ & $6.6 \pm 2.5$ & $9.3 \pm 0.5$ & $6.6 \pm 1.2$ \\
+Yi Ch'ang-ho\tnote{2}& $7.0 \pm 0.8$ & $5.0 \pm 1.4$ & $2.6 \pm 0.9$ & $2.6 \pm 1.2$ \\
+Takemiya Masaki      & $1.3 \pm 0.5$ & $6.3 \pm 2.1$ & $7.0 \pm 0.8$ & $1.3 \pm 0.5$ \\
+Sakata Eio           & $7.6 \pm 1.7$ & $4.6 \pm 0.5$ & $7.3 \pm 0.9$ & $8.0 \pm 1.6$ \\
+Rui Naiwei           & $4.6 \pm 1.2$ & $5.6 \pm 0.5$ & $9.0 \pm 0.8$ & $3.3 \pm 1.2$ \\
+Otake Hideo          & $4.3 \pm 0.5$ & $3.0 \pm 0.0$ & $4.6 \pm 1.2$ & $3.6 \pm 0.9$ \\
+O Meien              & $2.6 \pm 1.2$ & $9.6 \pm 0.5$ & $8.3 \pm 1.7$ & $3.6 \pm 1.2$ \\
+Ma Xiaochun          & $8.0 \pm 2.2$ & $6.3 \pm 0.5$ & $5.6 \pm 1.9$ & $8.0 \pm 0.8$ \\
+Luo Xihe             & $7.3 \pm 0.9$ & $7.3 \pm 2.5$ & $7.6 \pm 0.9$ & $6.0 \pm 1.4$ \\
+Ishida Yoshio        & $8.0 \pm 1.4$ & $5.0 \pm 1.4$ & $3.3 \pm 1.2$ & $5.3 \pm 0.5$ \\
+Gu Li                & $5.6 \pm 0.9$ & $7.0 \pm 0.8$ & $9.0 \pm 0.8$ & $4.0 \pm 0.8$ \\
+Cho U                & $7.3 \pm 2.4$ & $6.0 \pm 0.8$ & $5.3 \pm 1.7$ & $6.3 \pm 1.7$ \\
+Cho Chikun           & $9.0 \pm 0.8$ & $7.6 \pm 0.9$ & $6.6 \pm 1.2$ & $9.0 \pm 0.8$ \\
+Yuki Satoshi         & $3.0 \pm 1.0$ & $8.5 \pm 0.5$ & $9.0 \pm 1.0$ & $4.5 \pm 0.5$ \\
+Yamashita Keigo      & $2.0 \pm 0.0$ & $9.0 \pm 1.0$ & $9.5 \pm 0.5$ & $3.0 \pm 1.0$ \\
+Takao Shinji         & $5.0 \pm 1.0$ & $3.5 \pm 0.5$ & $5.5 \pm 1.5$ & $4.5 \pm 0.5$ \\
+Miyazawa Goro        & $1.5 \pm 0.5$ & $10  \pm 0  $ & $9.5 \pm 0.5$ & $4.0 \pm 1.0$ \\
+Kobayashi Koichi     & $9.0 \pm 1.0$ & $2.5 \pm 0.5$ & $2.5 \pm 0.5$ & $5.5 \pm 0.5$ \\
+Kato Masao           & $2.5 \pm 0.5$ & $4.5 \pm 1.5$ & $9.5 \pm 0.5$ & $4.0 \pm 0.0$ \\
+Hane Naoki           & $7.5 \pm 0.5$ & $2.5 \pm 0.5$ & $4.0 \pm 0.0$ & $4.5 \pm 1.5$ \\
+Go Seigen            & $6.0 \pm 2.0$ & $9.0 \pm 1.0$ & $8.0 \pm 1.0$ & $5.0 \pm 1.0$ \\
+Fujisawa Hideyuki    & $3.5 \pm 0.5$ & $9.0 \pm 1.0$ & $7.0 \pm 0.0$ & $4.0 \pm 0.0$ \\
+Chen Yaoye           & $6.0 \pm 1.0$ & $4.0 \pm 1.0$ & $6.0 \pm 1.0$ & $5.5 \pm 0.5$ \\
+\hline
+\end{tabular}
+\begin{tablenotes}
+\item [1] Including standard deviation. Only players where we got at least two out of tree answers are included.
+\item [2] We consider games only up to year 2004, since Yi Ch'ang-ho was prominent representative of a balanced, careful player until then, but is regarded to have altered his style significantly afterwards.
+\end{tablenotes}
+\end{threeparttable}
+\end{table}
+
 \subsection{Style Components Analysis}
 
 PCA analysis yielded X, chi-square test...
-- 
2.11.4.GIT