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» Theoretical Frameworks for Data Mining
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KDD
2010
ACM
195views Data Mining» more  KDD 2010»
15 years 1 months ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
14 years 8 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
ML
2010
ACM
210views Machine Learning» more  ML 2010»
14 years 8 months ago
Mining frequent closed rooted trees
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
José L. Balcázar, Albert Bifet, Anto...
IHI
2010
198views Healthcare» more  IHI 2010»
14 years 4 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...
NIPS
2007
14 years 11 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet