From c4bc295ea29f8cc3f0c5f75f7bbd3738d539bbb6 Mon Sep 17 00:00:00 2001 From: Petr Baudis Date: Wed, 10 Mar 2010 12:16:48 +0100 Subject: [PATCH] tex: Style estimator generic talk --- tex/gostyle.tex | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/tex/gostyle.tex b/tex/gostyle.tex index c266042..abeebb0 100644 --- a/tex/gostyle.tex +++ b/tex/gostyle.tex @@ -748,10 +748,17 @@ on average. \section{Style Estimator} -The source games collection is GoGoD Winter 2009 (TODO) containing 42000 (TODO) -professional games, dating from the early Go history 1500 years ago to the present. +As a second case study for our pattern analysis, we investigate pattern vectors $\vec p$ +of various well-known players, their relationships and correlations to prior +knowledge to explore its correlaction with extracted patterns. We look for +relationship between pattern vectors and perceived ``playing style'' and +attempt to use our classifiers to transform pattern vector $\vec p$ to style vector $\vec s$. -bla bla bla +The source game collection is GoGoD Winter 2008 \cite{GoGoD} containing 55000 +professional games, dating from the early Go history 1500 years ago to the present. +We consider only games of a small subset of players (fig. \ref{fig:style_marks}); +we have chosen these for being well-known within the players community and +having large number of played games in our collection. \subsection{Expert-based knowledge} \label{style-vectors} @@ -788,9 +795,8 @@ Averaging this expert based evaluation yields 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. +7-dan and V\'{i}t Brunner 4-dan) have judged style of the reference +players. Mean standard deviation of the answers is 0.952, making the data reasonably reliable, though much larger sample would of course be more desirable. -- 2.11.4.GIT