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AIRS
2008
Springer
15 years 11 months ago
Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach
We present a novel approach that transforms the weighting task to a typical coarse-grained classification problem, aiming to assign appropriate weights for candidate expansion term...
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
BMCBI
2006
122views more  BMCBI 2006»
15 years 4 months ago
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
Carmen Lai, Marcel J. T. Reinders, Laura J. van't ...
129
Voted
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 11 months ago
Learning motor primitives for robotics
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
Jens Kober, Jan Peters
ICALT
2007
IEEE
15 years 6 months ago
An Ontological Approach for Semantic Learning Objects Interoperability
This paper presents a semantic-aware classification algorithm that can leverage the interoperability among semantically heterogeneous learning object repositories using different ...
Ming-Che Lee, Kun Hua Tsai, Tung Cheng Hsieh, Ti K...
IDA
2002
Springer
15 years 4 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last