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CORR
2007
Springer
87views Education» more  CORR 2007»
13 years 7 months ago
Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency
Abstract—The problem of hypothesis testing against independence for a Gauss–Markov random field (GMRF) is analyzed. Assuming an acyclic dependency graph, an expression for the...
Animashree Anandkumar, Lang Tong, Ananthram Swami
JUCS
2008
100views more  JUCS 2008»
13 years 7 months ago
Stacked Dependency Networks for Layout Document Structuring
: We address the problems of structuring and annotation of layout-oriented documents. We model the annotation problems as the collective classification on graph-like structures wit...
Boris Chidlovskii, Loïc Lecerf
FUIN
2010
114views more  FUIN 2010»
13 years 2 months ago
Feature Selection via Maximizing Fuzzy Dependency
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, ...
PPDP
2009
Springer
14 years 2 months ago
Dependent type inference with interpolants
We propose a novel type inference algorithm for a dependentlytyped functional language. The novel features of our algorithm are: (i) it can iteratively refine dependent types wit...
Hiroshi Unno, Naoki Kobayashi
ACSC
2006
IEEE
14 years 1 months ago
Identifying refactoring opportunities by identifying dependency cycles
The purpose of refactoring is to improve the quality of a software system by changing its internal design so that it is easier to understand or modify, or less prone to errors and...
Hayden Melton, Ewan D. Tempero