Writing up
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@@ -3,14 +3,19 @@
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\citation{corney}
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\citation{janzenxiang}
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\citation{truyen}
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\citation{truyen}
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\citation{murphy}
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\citation{murphy}
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\citation{russelnorvig}
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\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Our Baysian net modeling user preferences. The top layer describes the categories Meat and Vegetable. We have a control variable vegetarian for Meat, such that it will always evaluate to $0$ when there is meat involved in a dish and we have a vegetarian diner. The mid layer describes the preference for different ingredients. The last layer is a gaussian predicting the users preferences.}}{2}}
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\newlabel{img:bayes_net}{{1}{2}}
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\bibstyle{plain}
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\bibdata{p2refs}
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\bibcite{corney}{1}
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\bibcite{janzenxiang}{2}
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\bibcite{murphy}{3}
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\@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces Our Baysian net modeling user preferences}}{2}}
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\newlabel{img:bayes_net}{{1}{2}}
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\@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces Estimated vs. Actual Survey Dish Ratings}}{2}}
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\bibcite{truyen}{4}
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\bibcite{vanboekel}{5}
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\bibcite{russelnorvig}{4}
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\bibcite{truyen}{5}
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\bibcite{vanboekel}{6}
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\@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces Estimated vs. surveyed dish ratings}}{3}}
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\newlabel{result}{{2}{3}}
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