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ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
15 years 8 months ago
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
EVOW
2008
Springer
15 years 8 months ago
Metaheuristics for the Bi-objective Ring Star Problem
The bi-objective ring star problem aims to locate a cycle through a subset of nodes of a graph while optimizing two types of cost. The first criterion is to minimize a ring cost, r...
Arnaud Liefooghe, Laetitia Jourdan, Matthieu Basse...
FASE
2008
Springer
15 years 8 months ago
A Logic of Graph Constraints
Abstract. Graph constraints were introduced in the area of graph transformation, in connection with the notion of (negative) application conditions, as a form to limit the applicab...
Fernando Orejas, Hartmut Ehrig, Ulrike Prange
AAAI
2010
15 years 8 months ago
Fast Algorithms for Top-k Approximate String Matching
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Zhenglu Yang, Jianjun Yu, Masaru Kitsuregawa
ACL
2008
15 years 8 months ago
Analyzing the Errors of Unsupervised Learning
We identify four types of errors that unsupervised induction systems make and study each one in turn. Our contributions include (1) using a meta-model to analyze the incorrect bia...
Percy Liang, Dan Klein