David J. Stracuzzi

ICML Conference 2006 Conference Paper

Relational temporal difference learning

• Nima Asgharbeygi
• David J. Stracuzzi
• Pat Langley

JMLR Journal 2004 Journal Article

Randomized Variable Elimination

• David J. Stracuzzi
• Paul E. Utgoff

Variable selection, the process of identifying input variables that are relevant to a particular learning problem, has received much attention in the learning community. Methods that employ a learning algorithm as a part of the selection process (wrappers) have been shown to outperform methods that select variables independently from the learning algorithm (filters), but only at great computational expense. We present a randomized wrapper algorithm whose computational requirements are within a constant factor of simply learning in the presence of all input variables, provided that the number of relevant variables is small and known in advance. We then show how to remove the latter assumption, and demonstrate performance on several problems. [abs] [ pdf ] [ code ]

ICML Conference 2002 Conference Paper

Randomized Variable Elimination

• David J. Stracuzzi
• Paul E. Utgoff

ICML Conference 1999 Conference Paper

Approximation Via Value Unification

• Paul E. Utgoff
• David J. Stracuzzi