Well, it’s been a long time since I’ve done actual research. I still have hopes of starting something up again … maybe digging deeper into my failed attempt at extracting knowledge from neural nets or something around logical expressions and understanding their complexity. Who knows. At this point all I have is some, what seems like, ancient lore.


  <h3>Knowledge Extraction from Neural Nets ...</h3>

  <p>My masters thesis was entitled <a href="/Extra/Research/Thesis/thesis-manuscript.html">Knowledge Extraction from Neural Nets through Graph Theoretical Algorithms</a>.  This research was somewhat related to my previous efforts into Tournament Isomorphism.  It took a while, but after being drafted, re-drafted, edited, re-edited, formatted and re-formatted it is now <a href="/Extra/Research/Thesis/thesis-manuscript.html">available online</a>.</p>


  <p>Thanks to my Thesis committee: <a href="">Marty Wolf</a>, <a href=" ">Jon Hakkila</a> and <a href="">Richard Roiger</a>.  Also thanks to <a href="">David Haglin</a> for also lending an ear and being willing to serve on the Thesis committee.</p>


  <h3>Tournament Isomorphism</h3>

  <p>Hi, so you are interested in tournaments or you'd like to more about them.  As an undergraduate I was fortunate enough to be selected to help out with some research conducted here at MSU. I then became very interested in the topic and decided to spend some more time on it. Anyway, I ended up writing a paper with the title <i><a href="/Extra/Research/Tournaments/tournaments.html">Convex subsets as a heuristic in tournament isomorphism</a></i>. As part of the research I also gave a poster presentation of this research at the SCCS or Small College Computing Symposium in April of 1996 at St. Cloud State University in Minnesota (stale link to <a href=""> conference website</a>).</p>


  <p> This research is based on an algorithm found by <a href="">Dr.  Marty Wolf</a> and <a href="">Dr.  David Haglin</a> and was funded by the <a href="">computer science department</a> at <a href="">Mankato State University</a> through a grant from Hickory Tech ... <b>THANK YOU</b></p>

Database Mining

  <p>As my first research topic as a graduate student I explored <b>Database Mining</b> with my graduate advisor <a href="">Dr.  Richard Roiger</a>. Here is a list of some links related to this topic.</p>

<li><a href="">A number of papers available</a>

  <a href="">Knowledge discovery mine</a>
  <a href="">Other KDD

  <p>The paper I wrote as part of this research is available in <a href="/Extra/Research/EBNN/ebnn.html">html</a> and <a href="/Extra/Research/EBNN/">postscript</a>. To be a little more specific, the paper deals more with explanation facilities in neural networks, but I was interested in how to apply neural networks in a useful way to database mining. Since there are a lot of people (me included) who have a hard time in taking output from a black box (the neural net) I figured it may make for interesting exploration. As a matter of fact I'm right now very interested in the application of convex subsets in p-partite tournaments, but more of that latter.</p>

  <h2>Other Links</h2>

  <p>There is a <a href="">database of papers</a>, which are available online and <a href="">Neuro Net</a> has lots of info on neural nets (and since the site is in Europe, hence the name ... clever, eh).</p>