Combinatorial auctions, that is, auctions where bidders can bid on combinations of items, tend to lead to more efficient allocations than traditional auction mechanisms in multi-i...
The graphics processing unit (GPU) has evolved from a fixedfunction processor with programmable stages to a programmable processor with many fixed-function components that deliver...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Abstract. We consider problems of (new) station placement along (existing) railway tracks, so as to increase the number of users. We prove that, in spite of the NP-hardness for the...
Evangelos Kranakis, Paolo Penna, Konrad Schlude, D...
Aggressive technology scaling into the nanometer regime has led to a host of reliability challenges in the last several years. Unlike onchip caches, which can be efficiently prot...
Amin Ansari, Shuguang Feng, Shantanu Gupta, Scott ...