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» Adaptive Learning from Evolving Data Streams
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CIKM
2000
Springer
15 years 4 months ago
Boosting for Document Routing
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
DIMVA
2011
14 years 4 months ago
Operating System Interface Obfuscation and the Revealing of Hidden Operations
Many software security solutions—including malware analyzers, information flow tracking systems, auditing utilities, and host-based intrusion detectors—rely on knowledge of s...
Abhinav Srivastava, Andrea Lanzi, Jonathon T. Giff...
COLING
2010
14 years 7 months ago
Boosting Relation Extraction with Limited Closed-World Knowledge
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...
ESANN
2006
15 years 1 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...
103
Voted
TVCG
1998
125views more  TVCG 1998»
15 years 4 days ago
Structure-Significant Representation of Structured Datasets
—Numerical simulation of physical phenomena is now an accepted way of scientific inquiry. However, the field is still evolving, with a profusion of new solution and grid-generati...
Raghu Machiraju, Zhifan Zhu, Bryan Fry, Robert J. ...