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SIGIR
2012
ACM
11 years 11 months ago
Parallelizing ListNet training using spark
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Shilpa Shukla, Matthew Lease, Ambuj Tewari
PDP
2005
IEEE
14 years 2 months ago
Some Solutions for Peer-to-Peer Global Computing
the emergence of Internet and new kind of architecture, likepeer-to-peer (P2P) networks, provides great hope for distributed computation. However, the combination of the world of ...
Guillaume Jourjon, Didier El Baz
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 19 days ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
PVLDB
2008
126views more  PVLDB 2008»
13 years 8 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...
PADS
2004
ACM
14 years 2 months ago
Conservative Synchronization of Large-Scale Network Simulations
Parallel discrete event simulation techniques have enabled the realization of large-scale models of communication networks containing millions of end hosts and routers. However, t...
Alfred Park, Richard M. Fujimoto, Kalyan S. Peruma...