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» An ICA algorithm for analyzing multiple data sets
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NIPS
2007
13 years 9 months ago
Learning Bounds for Domain Adaptation
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
John Blitzer, Koby Crammer, Alex Kulesza, Fernando...
TKDE
2010
393views more  TKDE 2010»
13 years 2 months ago
Adaptive Join Operators for Result Rate Optimization on Streaming Inputs
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network environ...
Mihaela A. Bornea, Vasilis Vassalos, Yannis Kotidi...
AAAI
2010
13 years 9 months ago
Local Search in Histogram Construction
The problem of dividing a sequence of values into segments occurs in database systems, information retrieval, and knowledge management. The challenge is to select a finite number ...
Felix Halim, Panagiotis Karras, Roland H. C. Yap
BPM
2009
Springer
161views Business» more  BPM 2009»
14 years 2 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
ICASSP
2008
IEEE
14 years 2 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott