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jungtaekkim · Jan 10, 2022 · 2a51f66 · 2a51f66
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diff --git a/docs/about/about_bo.rst b/docs/about/about_bo.rst
@@ -1,13 +1,13 @@
 About Bayesian Optimization
 ===========================
 
-Bayesian optimization is a **global optimization** strategy for **black-box** and **expensive-to-evaluate** functions.
-Generic Bayesian optimization follows these steps:
-
-.. image:: ../_static/steps/ei.*
+.. image:: ../_static/steps/ucb.*
     :width: 480
     :align: center
-    :alt: bo_with_gp_and_ei
+    :alt: bo_with_gp_and_ucb
+
+Bayesian optimization is a **global optimization** strategy for **black-box** and **expensive-to-evaluate** functions.
+Generic Bayesian optimization follows these steps:
 
 #. Build a **surrogate function** with historical inputs and their observations.
 #. Compute and maximize an **acquisition function**, defined by the outputs of surrogate function.

diff --git a/docs/index.rst b/docs/index.rst
@@ -8,6 +8,11 @@
 BayesO: A Bayesian optimization framework in Python
 ===================================================
 
+.. image:: ../_static/steps/ei.*
+    :width: 480
+    :align: center
+    :alt: bo_with_gp_and_ei
+
 `BayesO <http://bayeso.org>`_ (pronounced "bayes-o") is a simple, but essential Bayesian optimization package, written in Python.
 It is developed by `machine learning group <http://mlg.postech.ac.kr>`_ at POSTECH.
 This project is licensed under `the MIT license <https://opensource.org/licenses/MIT>`_.