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IFIP12
2008
15 years 7 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
SIGIR
2008
ACM
15 years 6 months ago
Bilingual topic aspect classification with a few training examples
This paper explores topic aspect (i.e., subtopic or facet) classification for English and Chinese collections. The evaluation model assumes a bilingual user who has found document...
Yejun Wu, Douglas W. Oard
ICPR
2010
IEEE
15 years 4 months ago
Data Classification on Multiple Manifolds
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...
Rui Xiao, Qijun Zhao, David Zhang, Pengfei Shi
BSN
2009
IEEE
189views Sensor Networks» more  BSN 2009»
15 years 4 months ago
Neural Network Gait Classification for On-Body Inertial Sensors
Clinicians have determined that continuous ambulatory monitoring provides significant preventative and diagnostic benefit, especially to the aged population. In this paper we descr...
Mark A. Hanson, Harry C. Powell Jr., Adam T. Barth...
AUSAI
2009
Springer
16 years 26 days ago
Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
Gerhard Visser, David L. Dowe, Imants D. Svalbe