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158
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ANLP
2000
111views more  ANLP 2000»
15 years 7 months ago
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
John C. Henderson, Eric Brill
170
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IEE
2007
104views more  IEE 2007»
15 years 6 months ago
Complete distributed garbage collection using DGC-consistent cuts and .NET AOP-support
: The memory management of distributed objects, when done manually, is an error-prone task. It leads to memory leaks and dangling references, causing applications to fail. Avoiding...
Luís Veiga, P. Pereira, Paulo Ferreira
175
Voted
ICML
2003
IEEE
15 years 11 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
NCA
2010
IEEE
15 years 4 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
POPL
2007
ACM
16 years 6 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic