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» On Issues of Instance Selection
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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 10 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
MC
2008
122views Computer Science» more  MC 2008»
13 years 10 months ago
Interaction Techniques for Case Selection in Medical Computer Based Training Systems
The vast majority of medical computer-based training (CBT) systems aim at problem-oriented case based training. A crucial issue in the design of CBT systems is the selection of ap...
Ragnar Bade, Jeanette Cordes, Maik Mewes, Bernhard...
MLDM
2005
Springer
14 years 2 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
IROS
2008
IEEE
116views Robotics» more  IROS 2008»
14 years 3 months ago
Selection of robot pre-grasps using box-based shape approximation
— Grasping is a central issue of various robot applications, especially when unknown objects have to be manipulated by the system. In earlier work, we have shown the efficiency ...
Kai Huebner, Danica Kragic
ACL
2004
13 years 10 months ago
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
Jun Suzuki, Hideki Isozaki, Eisaku Maeda