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TASE
2008
IEEE
13 years 9 months ago
New Hybrid Optimization Algorithms for Machine Scheduling Problems
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
Yunpeng Pan, Leyuan Shi
CONEXT
2007
ACM
14 years 1 months ago
Proactive replication in distributed storage systems using machine availability estimation
Distributed storage systems provide data availability by means of redundancy. To assure a given level of availability in case of node failures, new redundant fragments need to be ...
Alessandro Duminuco, Ernst Biersack, Taoufik En-Na...
OSDI
2004
ACM
14 years 10 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
ICML
2005
IEEE
14 years 10 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
ICML
2007
IEEE
14 years 10 months ago
On the value of pairwise constraints in classification and consistency
In this paper we consider the problem of classification in the presence of pairwise constraints, which consist of pairs of examples as well as a binary variable indicating whether...
Jian Zhang, Rong Yan