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CORR
1999
Springer
118views Education» more  CORR 1999»
13 years 9 months ago
Supervised Grammar Induction Using Training Data with Limited Constituent Information
Corpus-based grammar induction generally relies on hand-parsed training data to learn the structure of the language. Unfortunately, the cost of building large annotated corpora is...
Rebecca Hwa
ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 9 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
PRL
2002
115views more  PRL 2002»
13 years 9 months ago
A generic fuzzy rule based image segmentation algorithm
Fuzzy rule based image segmentation techniques tend in general, to be application dependent with the structure of the membership functions being predefined and in certain cases, t...
Gour C. Karmakar, Laurence Dooley
SIGPLAN
2002
13 years 9 months ago
A rule-based language for programming software updates
We describe the design of a rule-based language for expressing changes to Haskell programs in a systematic and reliable way. The update language essentially offers update commands...
Martin Erwig, Deling Ren
VLSISP
1998
111views more  VLSISP 1998»
13 years 9 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...