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ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 9 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
ICS
1998
Tsinghua U.
15 years 6 months ago
Dependence Driven Execution for Multiprogrammed Multiprocessor
Abstract Barrier synchronizations can be very expensive on multiprogramming environment because no process can go past a barrier until all the processes have arrived. If a process ...
Suvas Vajracharya, Dirk Grunwald
HASKELL
2006
ACM
15 years 8 months ago
Strong types for relational databases
Haskell’s type system with multi-parameter constructor classes and functional dependencies allows static (compile-time) computations to be expressed by logic programming on the ...
Alexandra Silva, Joost Visser
CLUSTER
2002
IEEE
15 years 7 months ago
Protocol-Dependent Message-Passing Performance on Linux Clusters
In a Linux cluster, as in any multi-processor system, the inter-processor communication rate is the major limiting factor to its general usefulness. This research is geared toward...
Dave Turner, Xuehua Chen
CLOUD
2010
ACM
15 years 7 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...