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IEEECIT
2010
IEEE
15 years 28 days ago
Scaling the iHMM: Parallelization versus Hadoop
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
127
Voted
ISOLA
2010
Springer
15 years 26 days ago
Towards More Adaptive Voice Applications
With the Internet designed to provide best-effort packet transmission, applications are expected to adapt dynamically to the operating conditions observed in the network. For this ...
Jörg Ott
TMC
2010
139views more  TMC 2010»
15 years 24 days ago
Optimize Storage Placement in Sensor Networks
—Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. Storage nodes are introdu...
Bo Sheng, Qun Li, Weizhen Mao
ANOR
2010
139views more  ANOR 2010»
15 years 23 days ago
Some operations research methods for analyzing protein sequences and structures
Operations Research is probably one of the most successful fields of applied mathematics used in Economics, Physics, Chemistry, almost everywhere onehastoanalyzehugeamountsofdata.L...
Piotr Lukasiak, Jacek Blazewicz, Maciej Milostan
EMNLP
2010
15 years 13 days ago
Dual Decomposition for Parsing with Non-Projective Head Automata
This paper introduces algorithms for nonprojective parsing based on dual decomposition. We focus on parsing algorithms for nonprojective head automata, a generalization of head-au...
Terry Koo, Alexander M. Rush, Michael Collins, Tom...