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213
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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
15 years 8 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
AEI
2006
253views more  AEI 2006»
15 years 7 months ago
Computer based pedestrian landscape design using decision tree templates
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...
Baranidharan Raman, Jody R. Naderi
285
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SIGMOD
2007
ACM
197views Database» more  SIGMOD 2007»
16 years 7 months ago
Automated and on-demand provisioning of virtual machines for database applications
Utility computing delivers compute and storage resources to applications as an `on-demand utility', much like electricity, from a distributed collection of computing resource...
Piyush Shivam, Azbayar Demberel, Pradeep Gunda, Da...
ICALT
2006
IEEE
16 years 1 months ago
Mobile Technology and Content Delivery in Education
The purpose of this workshop is to identify various issues that are pertinent to the development and delivery of content in the context of mobile devices. The workshop will focus ...
Rory McGreal, Kinshuk
ESANN
2006
15 years 8 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...