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ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
14 years 2 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
ICML
2006
IEEE
14 years 11 months ago
Estimating relatedness via data compression
We show that it is possible to use data compression on independently obtained hypotheses from various tasks to algorithmically provide guarantees that the tasks are sufficiently r...
Brendan Juba
ESANN
2007
14 years 6 days ago
A new feature selection scheme using data distribution factor for transactional data
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
Piyang Wang, Tommy W. S. Chow
SIGECOM
2008
ACM
92views ECommerce» more  SIGECOM 2008»
13 years 10 months ago
Strong regularities in online peer production
Online peer production systems have enabled people to coactively create, share, classify, and rate content on an unprecedented scale. This paper describes strong macroscopic regul...
Dennis M. Wilkinson
ACL
2009
13 years 8 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...