\documentstyle[slide]{article}
\pagestyle{headings}
%\pagestyle{plain}
\nologo

\def\footstring{\small lecture slides for textbook {\em Machine Learning},
\copyright Tom M. Mitchell, McGraw Hill, 1997}

\input{psfig.sty}
\input{color.sty}
\input epsf
\def\argmax{\mathop{\rm argmax}}
\def\argmin{\mathop{\rm argmin}}
\newcommand{\tand}{\wedge}
\newcommand{\tor}{\vee}
\newcommand{\union}{\cup}
\newcommand{\intersection}{\cap}
\newcommand{\ch}{$\surd$}
\newcommand{\pgm}[1]{{\sc #1}}
\newcommand{\la}{\leftarrow}
\newcommand{\ra}{\rightarrow}
\newcommand{\<}{\langle}
\newcommand{\lra}{\leftrightarrow}
\newcommand{\bi}{\begin{itemize}}
\newcommand{\ei}{\end{itemize}}
\newcommand{\be}{\begin{enumerate}}
\newcommand{\ee}{\end{enumerate}}
\newcommand{\entails}{\vdash}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%  EDIT NEXT LINE TO INCLUDE JUST ONE CHAPTER'S WORTH OF SLIDES...

\includeonly{ch1,ch2,ch3,ch4,ch5,ch6,ch7,ch8,ch9,ch10,ch12,ch13}

\begin{document}

\include{ch1} % Intro
\include{ch2} % concept learning
\include{ch3} % decisiontrees
\include{ch4} % nnets
\include{ch5} % statistics
\include{ch6} % bayes, bayesnets
\include{ch7} % pac-learning
\include{ch8} % instance based learning
\include{ch9} % genetic algs
\include{ch10} % learning sets of rules
% \include{ch11} % explanation based learning (coming soon)
\include{ch12} % inductive/analytical learning
\include{ch13} % reinforcement learning

%\include{textlearn}
%\include{summary}

\end{document}
