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ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
13 years 10 months ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
GECCO
2003
Springer
111views Optimization» more  GECCO 2003»
13 years 9 months ago
Evolutionary Computing as a Tool for Grammar Development
Abstract. In this paper, an agent-based evolutionary computing technique is introduced, that is geared towards the automatic induction and optimization of grammars for natural lang...
Guy De Pauw
IJCAI
2003
13 years 6 months ago
GRAEL: an agent-based evolutionary computing approach for natural language grammar development
This paper describes an agent-based evolutionary computing technique called GRAEL (Grammar Evolution), that is able to perform different natural language grammar optimization and ...
Guy De Pauw
ADAC
2010
105views more  ADAC 2010»
13 years 4 months ago
Inference for robust canonical variate analysis
We consider the problem of optimally separating two multivariate populations. Robust linear discriminant rules can be obtained by replacing the empirical means and covariance in th...
Stefan Van Aelst, Gert Willems
EMNLP
2007
13 years 6 months ago
Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
This paper proposes a new bootstrapping approach to unsupervised part-of-speech induction. In comparison to previous bootstrapping algorithms developed for this problem, our appro...
Sajib Dasgupta, Vincent Ng