From 722aa31fef933d37bbf14c27a4055a20a1df5b2f Mon Sep 17 00:00:00 2001
From: Stratis Ioannidis <stratis@stratis-Latitude-E6320.(none)>
Date: Sat, 3 Nov 2012 23:47:39 -0700
Subject: general

---
 general.tex | 2 ++
 1 file changed, 2 insertions(+)

(limited to 'general.tex')

diff --git a/general.tex b/general.tex
index 589b176..cb2154b 100644
--- a/general.tex
+++ b/general.tex
@@ -67,4 +67,6 @@ eigenvalue is larger than 1. Hence $\log\det R\geq 0$ and an approximation on
 $\tilde{V}$ gives an approximation ration on $V$ (see discussion above).
 
 \subsection{Beyond Linear Models}
+Selecting experiments that maximize the information gain in the Bayesian setup leads to a natural generalization to other learning examples beyond linear regression. In particular, suppose that the measurements
+
 TODO: Independent noise model. Captures models such as logistic regression, classification, etc. Arbitrary prior. Show that change in the entropy is submodular (cite Krause, Guestrin). 
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