Abstract. Due to its prominence in artificial intelligence and theoretical computer science, the propositional satisfiability problem (SAT) has received considerable attention in...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
With our participation in TREC2004, we test Terrier, a modular and scalable Information Retrieval framework, in three tracks. For the mixed query task of the Web track, we employ ...
: In our analysis of e-political participation among a 2003-random sample survey of 478 respondents drawn from Iowa, Pennsylvania and Colorado, six blocks of variables were entered...
Mack C. Shelley, Lisa E. Thrane, Stuart W. Shulman