What does zero test tell us about the SEE world?

Here is a detailed report using the Blom correction.

Some PCG Algorithms for Dungeon Generation

Recursive Backtracker Maze Algorithm:
 - Go in random unvisited direction and backtrack when each direction is visited until everything is visited

Jar Demo:
http://dl.dropbox.com/u/30075723/joe/RecursiveBacktracker.jar

Jamis Buck Maze Algorithm:
 - Similar to Recursive Backtracker
 - Addition of some parameters that control bias of turning

Jar Demo:
http://dl.dropbox.com/u/30075723/joe/JamisBuck.jar

Recursive Backtracker (left) versus Jamis Buck (right)
http://www.grabilla.com/02418-29fad28b-4a20-45c7-ab57-6da5bd11f1e5.png

Cellular Automata:
 - Change the state of a grid cell (whether it can be walked on or not) based on neighboring states
 - If (parameter_above = 5) or more of neighbors are "walkable" then this cell is walkable.
 - If (parameter_under = 2) or less of neighbors are NOT "walkable" this this cell is non-walkable.
 - Run the above to "erode" the dungeon
 - No guarantee of connectedness without further work

Examples of Cellular Automata:
http://www.grabilla.com/02418-3a42a206-b903-439f-986a-55f0b6cb5794.png
http://www.grabilla.com/02418-bfaf95c7-f212-4d47-b5ca-e78217c8a7d8.png

Jar Demo:
http://dl.dropbox.com/u/30075723/joe/CellularAutomata.jar

BSP Tree (Binary Space Partion):
 - Split the component in half either vertically or horizontally at some position
 - Recurse into each half and repeat until the components are "small enough"
 - Add rooms to each resulting component after tree is generated
 - Connect rooms (by connecting each component to its sibling)
 - Connectedness *is* guaranteed as a property of the BSP Tree

Examples of BSP Tree Dungeons:
http://www.grabilla.com/02418-eab66c9e-2e3b-402a-89df-fcb6ff589c6c.png
http://www.grabilla.com/02418-f73cd867-ae67-4f96-8ad9-861cfee997d6.png

Jar Demo:
http://dl.dropbox.com/u/30075723/joe/BSPTree.jar

Loop subsequence paper

Subsequence loop - still rough

http://dl.dropbox.com/u/54855149/SubseqPaper417.pdf

http://dl.dropbox.com/u/54855149/SubseqPaper417.tex

Current Status of Papers

In the Pipeline

• Active learning paper
• Bias variance paper
• LOC comparison paper

In reply process

• Theoretical Maximum Prediction Accuracy paper

To be written (with experiments ready)

• Active learning for defect
• Tukutuku paper

ranking tests

30 40 50 60 70 80 90 

Computational Genomics

Lit review on Computational Genomics

http://dl.dropbox.com/u/54855149/LitReviewMoore.pdf

http://dl.dropbox.com/u/54855149/LitReviewMoore.tex