Sciweavers

11539 search results - page 60 / 2308
» On Learning from Exercises
Sort
View
DMIN
2006
125views Data Mining» more  DMIN 2006»
14 years 11 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
ICDS
2010
IEEE
15 years 3 months ago
Towards Learning Domain Ontology from Legacy Documents
—Learning ontology from text is a challenge in knowledge engineering research and practice. Learning relations between concepts is even more difficult work. However, when conside...
Yijian Wu, Shaolei Zhang, Wenyun Zhao
CE
2005
170views more  CE 2005»
14 years 9 months ago
Development of an environmental virtual field laboratory
Laboratory exercises, field observations and field trips are a fundamental part of many earth science and environmental science courses. Field observations and field trips can be ...
V. Ramasundaram, S. Grunwald, A. Mangeot, N. B. Co...
ICML
2005
IEEE
15 years 10 months ago
Beyond the point cloud: from transductive to semi-supervised learning
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
Vikas Sindhwani, Partha Niyogi, Mikhail Belkin
ICML
2007
IEEE
15 years 10 months ago
Experimental perspectives on learning from imbalanced data
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napol...