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PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 12 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
16 years 29 days ago
Word Sense Discovery for Web Information Retrieval
Word meaning disambiguation has always been an important problem in many computer science tasks, such as information retrieval and extraction. One of the problems, faced in automa...
Tomasz Nykiel, Henryk Rybinski
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
16 years 25 days ago
Aspect Summarization from Blogsphere for Social Study
In this paper, we study the problem of summarizing reasons from blogsphere for social study. We regard weblogs as a source for collecting non-discrete public opinions, where genui...
Chia-Hui Chang, Kun-Chang Tsai
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
16 years 20 days ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
16 years 16 days ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen