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» Active learning with extremely sparse labeled examples
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ICDM
2010
IEEE
146views Data Mining» more  ICDM 2010»
13 years 3 months ago
One-Class Matrix Completion with Low-Density Factorizations
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu,...
CHI
2004
ACM
14 years 6 months ago
Acquiring in situ training data for context-aware ubiquitous computing applications
Ubiquitous, context-aware computer systems may ultimately enable computer applications that naturally and usefully respond to a user's everyday activity. Although new algorit...
Stephen S. Intille, Ling Bao, Emmanuel Munguia Tap...
LREC
2010
148views Education» more  LREC 2010»
13 years 7 months ago
Tag Dictionaries Accelerate Manual Annotation
Expert human input can contribute in various ways to facilitate automatic annotation of natural language text. For example, a part-of-speech tagger can be trained on labeled input...
Marc Carmen, Paul Felt, Robbie Haertel, Deryle Lon...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 7 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny