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» Language Modeling for Determiner Selection
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NAACL
1994
13 years 10 months ago
Statistical Language Processing Using Hidden Understanding Models
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...
ICDAR
2009
IEEE
14 years 3 months ago
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
Xuefeng Chen, Xiabi Liu, Yunde Jia
ESE
2002
112views Database» more  ESE 2002»
13 years 8 months ago
An Empirical Method for Selecting Software Reliability Growth Models
Estimating remaining defects or failures in software can help test managers make release decisions during testing. Several methods exist to estimate defect content, among them a v...
Catherine Stringfellow, Anneliese Amschler Andrews
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
13 years 7 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 8 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