Publications

Journal Articles

Stracuzzi, D.J. and Utgoff, P.E. (2004), Randomized variable elimination. Journal of Machine Learning Research, 5, 1331-1362.
Utgoff, P.E. and Stracuzzi, D.J. (2002), Many-layered learning. Neural Computation, 14, (10). 2497-2529.

Conference Papers

Stracuzzi, D.J. and Konik, T. (2008), A Statistical Approach to Incremental Induction of First-Order Hierarchical Knowledge Bases. Proceedings of the 18th International Conference on Inductive Logic Programming (pp. 279 - 296). Prague, Czech Republic: Springer.
Li, N., Stracuzzi, D.J. and Langley, P. (2008). Learning Conceptual Predicates for Teleoreactive Logic Programs. Proceedings of the Late-Breaking Papers Track of the 18th International Conference on Inductive Logic Programming. Prague, Czech Republic.
Asgharbeygi, N., Stracuzzi, D.J. and Langley P. (2006), Relational temporal difference learning. Proceedings of the 23rd International Conference on Machine Learning (pp. 49 - 56). Pittsburgh, PA: ACM Press.
Stracuzzi, D.J. (2005), Scalable knowledge acquisition through memory organization. International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (pp. 57 - 64). Espoo, Finland: Helsinki University of Technology.
Utgoff, P.E. and Stracuzzi, D.J. (2002), Many-layered learning. Second International Conference on Development and Learning (pp. 141 - 146). Cambridge, MA: IEEE Press.
Stracuzzi, D.J. and Utgoff, P.E. (2002), Randomized variable elimination. Proceedings of the Nineteenth International Conference on Machine Learning (pp. 594-601). Sydney, Australia: Morgan Kaufmann.
Utgoff, P.E. and Stracuzzi, D.J. (1999), Approximation via value unification. Proceedings of the Sixteenth International Conference on Machine Learning (pp. 425 - 432). Bled, Slovenia: Morgan Kaufmann.

Workshop Papers

Stracuzzi, D.J. (2006), Memory organization and knowledge transfer. Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning.
Stracuzzi, D.J. and Asgharbeygi, N. (2006), Transfer of knowledge structures with relational temporal difference learning. Proceedings of the ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning.

Book Chapters

Stracuzzi, D.J. (2007). Randomized feature selection. In Liu and Motoda (Eds.) Computational Methods of Feature Selection (pp. 41 - 62). CRC Press.

Doctoral Dissertation

Stracuzzi, D.J. (2006), Scalable knowledge acquisition through cumulative learning and memory organization. Ph.D. Thesis. Department of Computer Science, University of Massachusetts, Amherst, MA.

Technical Reports

Stracuzzi, D.J. (2005) Scalable learning in many layers. TR-05-02. Amherst, MA: University of Massachusetts Computer Science Department.
Stracuzzi, D.J. and Utgoff, P.E. (2000) Feature compilation. TR-00-18. Amherst, MA: University of Massachusetts Computer Science Department.

Last Update: June 2008