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> <h4>Acknowledgments</h4> <p>Thanks to my Thesis committee: <a href="https://www.linkedin.com/in/martyjwolf/">Marty Wolf</a>, <a href="https://www.linkedin.com/in/jon-hakkila-b5b6b36/ ">Jon Hakkila</a> and <a href="http://krypton.mnsu.edu/~roiger/">Richard Roiger</a>. Also thanks to <a href="https://www.linkedin.com/in/davidhaglin/">David Haglin</a> for also lending an ear and being willing to serve on the Thesis committee.</p> <h2>Tournaments</h2> <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="http://www.stcloud.msus.edu/sccs"> conference website</a>).</p> <h3>Acknowledgments</h3> <p> This research is based on an algorithm found by <a href="https://www.linkedin.com/in/martyjwolf/">Dr. Marty Wolf</a> and <a href="https://www.linkedin.com/in/davidhaglin/">Dr. David Haglin</a> and was funded by the <a href="http://www.cs.mnsu.edu">computer science department</a> at <a href="http://www.mnsu.edu">Mankato State University</a> through a grant from Hickory Tech ... <b>THANK YOU</b></p>
<p>As my first research topic as a graduate student I explored <b>Database Mining</b> with my graduate advisor <a href="http://www.cs.mnsu.edu/~roiger/">Dr. Richard Roiger</a>. Here is a list of some links related to this topic.</p> <ul> <li><a href="http://www.lpac.ac.uk/SEL-HPC/Articles/GeneratedHtml/db.mine.html">A number of papers available</a> </li> <li> <a href="http://info.gte.com/~kdd/index.html">Knowledge discovery mine</a> </li> <li> <a href="http://orgwis.gmd.de/projects/explora/pages.html">Other KDD Projects</a> </li> </ul> <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/ebnn.ps">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="http://www.lpac.ac.uk/SEL-HPC/Articles/">database of papers</a>, which are available online and <a href="http://www.neuronet.ph.kcl.ac.uk/neuronet/software/software.html">Neuro Net</a> has lots of info on neural nets (and since the site is in Europe, hence the name ... clever, eh).</p>