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» Regularization Methods for Additive Models
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SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
16 years 2 months ago
Domain adaptation of information extraction models
Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of exis...
Rahul Gupta, Sunita Sarawagi
CIDM
2009
IEEE
15 years 9 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
WSC
1997
15 years 3 months ago
Computational Experience with the Batch Means Method
This article discusses implementation issues for the LBATCH and ABATCH batch means procedures of Fishman and Yarberry (1997). Theses procedures dynamically increase the batch size...
Christos Alexopoulos, George S. Fishman, Andrew F....
PAMI
2010
132views more  PAMI 2010»
15 years 21 days ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
HICSS
2003
IEEE
119views Biometrics» more  HICSS 2003»
15 years 7 months ago
Modeling and Analyzing Communications Infrastructure A Case Study of an International Organization
EnCompass®1 , a web-enabled system for organizational process visualization, analysis, synthesis, and management, provides an interactive vehicle for understanding the influence ...
Michael M. Mann, Ericka Hansen Bryant