This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
Frederic Thouin, Mark Coates, Brian Eriksson, Robe...
Abstract—In this paper, we review the most important performance characteristics of the 802.11 DCF wireless networks, point out some false common knowledge, and report on recent ...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
Abstract. A major task in evolutionary biology is to determine the ancestral relationships among the known species, a process generally referred as phylogenetic reconstruction. In ...
Most markets compromise the economist’s ideal of matching the marginal benefits to consumers with the marginal cost of supply for incremental purchases because individual buyers...