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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
16 years 11 days ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
137
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ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
16 years 11 days ago
Direct Marketing When There Are Voluntary Buyers
1 In traditional direct marketing, the implicit assumption is that customers will only purchase the product if they are contacted. In real business environments, however, there ar...
Yi-Ting Lai, Ke Wang, Daymond Ling, Hua Shi, Jason...
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
16 years 11 days ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
ICDM
2006
IEEE
151views Data Mining» more  ICDM 2006»
16 years 11 days ago
Decision Trees for Functional Variables
Classification problems with functionally structured input variables arise naturally in many applications. In a clinical domain, for example, input variables could include a time...
Suhrid Balakrishnan, David Madigan
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
16 years 11 days ago
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions
There is a need to develop methods to automatically incorporate prior knowledge to support the prediction and validation of novel functional associations. One such important sourc...
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivi...