— Designing algorithms for multi-robot systems can be a complex and difficult process: the cost of such systems can be very high, collecting experimental data can be timeconsumi...
Constraint satisfaction and propositional satisfiability problems are often solved using backtracking search. Previous studies have shown that portfolios of backtracking algorith...
Using certain artificial intelligence techniques, stock data mining has given encouraging results in both trend analysis and similarity search. However, representing stock data ef...
Abstract. The ostensive model assumes that a user’s information need is dynamic and developing, thus, a recently accessed object can be seen as more indicative to the current inf...
We present a characterization of empirical price data from sponsored search auctions. We show that simple models drawing bid values independently from a fixed distribution can be...
Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Ga...