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» A Case Study for Learning from Imbalanced Data Sets
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AAAI
1994
13 years 11 months ago
Recovering Software Specifications with Inductive Logic Programming
We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
William W. Cohen
INFOCOM
2010
IEEE
13 years 8 months ago
Building Scalable Virtual Routers with Trie Braiding
—Many popular algorithms for fast packet forwarding and filtering rely on the tree data structure. Examples are the trie-based IP lookup and packet classification algorithms. W...
Haoyu Song, Murali S. Kodialam, Fang Hao, T. V. La...
DOLAP
2010
ACM
13 years 7 months ago
Using ontologies to discover fact IDs
Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. Ho...
Alberto Abelló, Oscar Romero
ICML
2007
IEEE
14 years 11 months ago
Recovering temporally rewiring networks: a model-based approach
A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing
ICML
2006
IEEE
14 years 11 months ago
Concept boundary detection for speeding up SVMs
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
Navneet Panda, Edward Y. Chang, Gang Wu