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» A New Approach to Improve Particle Swarm Optimization
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BTW
2009
Springer
132views Database» more  BTW 2009»
15 years 2 months ago
A Bayesian Approach to Estimating the Selectivity of Conjunctive Predicates
: Cost-based optimizers in relational databases make use of data statistics to estimate intermediate result cardinalities. Those cardinalities are needed to estimate access plan co...
M. Heimel, Volker Markl, Keshava Murthy
PPOPP
2009
ACM
15 years 10 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
NN
2008
Springer
143views Neural Networks» more  NN 2008»
14 years 10 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
EUROPAR
2003
Springer
15 years 3 months ago
Partial Redundancy Elimination with Predication Techniques
Partial redundancy elimination (PRE) techniques play an important role in optimizing compilers. Many optimizations, such as elimination of redundant expressions, communication opti...
Bernhard Scholz, Eduard Mehofer, R. Nigel Horspool
ATAL
2006
Springer
15 years 1 months ago
Solving POMDPs using quadratically constrained linear programs
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...