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FOCS
2004
IEEE
15 years 10 months ago
Approximating the Stochastic Knapsack Problem: The Benefit of Adaptivity
We consider a stochastic variant of the NP-hard 0/1 knapsack problem in which item values are deterministic and item sizes are independent random variables with known, arbitrary d...
Brian C. Dean, Michel X. Goemans, Jan Vondrá...
ASPLOS
2008
ACM
15 years 8 months ago
Efficiency trends and limits from comprehensive microarchitectural adaptivity
Increasing demand for power-efficient, high-performance computing requires tuning applications and/or the underlying hardware to improve the mapping between workload heterogeneity...
Benjamin C. Lee, David Brooks
GCC
2004
Springer
15 years 12 months ago
Efficient Search Using Adaptive Metadata Spreading in Peer-to-Peer Networks
Abstract. Search is until now a difficult problem in peer-to-peer (P2P) filesharing systems. In this paper, we propose to use adaptive metadata spreading to make search in P2P netw...
Xuezheng Liu, Guangwen Yang, Ming Chen, Yongwei Wu
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 10 months ago
Adaptation for parallel memetic algorithm based on population entropy
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
CIKM
2009
Springer
16 years 1 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai