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» On Feature Selection through Clustering
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MLDM
2005
Springer
14 years 1 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
ICRA
2002
IEEE
130views Robotics» more  ICRA 2002»
14 years 22 days ago
Combining Laser Range, Color, and Texture Cues for Autonomous Road Following
We describe results on combining depth information from a laser range-finder and color and texture image cues to segment ill-structured dirt, gravel, and asphalt roads as input t...
Christopher Rasmussen
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 9 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
TKDE
2010
137views more  TKDE 2010»
13 years 6 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
NAR
2008
122views more  NAR 2008»
13 years 7 months ago
SIMAP - structuring the network of protein similarities
Protein sequences are the most important source of evolutionary and functional information for new proteins. In order to facilitate the computationally intensive tasks of sequence...
Thomas Rattei, Patrick Tischler, Roland Arnold, Fr...