Abstract. High-Level net models following the paradigm “nets as tokens” have been studied already in the literature with several interesting applications. In this paper we prop...
In this paper we describe a stochastic local search (SLS) procedure for finding satisfying models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on th...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
This paper studies price properties in continuous double-auction markets in the presence of marketmakers, agents with special responsibilities for maintaining liquidity and orderl...
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...