1. Almond, R.G. (2007a). “I Can Name that Bayesian Network in Two Matrixes!” In K.B. Laskey, S.M. Mahoney, & J.A. Goldsmith (Eds.), Proceedings of the 5thUAI Bayesian Modeling Applications Workshop. CEUR Workshop Proceedings, 268. Available at http://sunsite.informatik.rwth-aachen.de/Publications/GEUR-WS/Vol-268/paper1.p
2. Almond, R.G. (2007b). Cognitive modeling to represent growth (learning) using Markov decision processes. Technology, Instruction, Cognition and Learning, 5, 313–324.
3. Almond, R.G., DiBello, L.V., Jenkins, F., Mislevy, R., Senturk, D., Steinberg, L.S., & Yan, D. (2001). Models for conditional probability tables in educational assessment. In T. Jaakkola & T. Richardson (Eds.), Artificial Intelligence and Statistics 2001. San Ftancisoo, CA: Morgan Kaufmann.
4. Almond, R.G., DiBello, L.V., Moulder, B., & Zapata-Rivera, J.-D. (2007). Modeling diagncstic assessments with Bayesian networks. Journal of Educational Measurement, 44, 341–359.
5. Almond, R.G., & Hemat, L.A. (2005). ICT model repository. (Unpublished archive of models used in research for the ICT program.) Available internally at Educational Testing Service through http://research.ets.org/~ralmond/ICT, and through anonymous CVS:pserver:anonymous@comet.research.ets.org:/home/oomet/cvsrepceitory:iCT