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» Transfer Learning by Reusing Structured Knowledge
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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 4 months ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins
SIGSOFT
2001
ACM
14 years 10 months ago
An empirical study on the utility of formal routines to transfer knowledge and experience
Most quality and software process improvement frameworks emphasize written (i.e. formal) documentation to convey recommended work practices. However, there is considerable skeptic...
Reidar Conradi, Tore Dybå
ACCV
2010
Springer
13 years 4 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
HICSS
2002
IEEE
109views Biometrics» more  HICSS 2002»
14 years 2 months ago
Embedding Self-Management and Generic Learning Support into Courseware Structures
Traditional Computer-Aided Teaching and Learning (CAT/CAL) environments in multimedia-based teleeducation do not empower knowledge consumers (trainees, students etc.) to practice ...
Andreas Auinger, Christian Stary
AAAI
2008
14 years 3 days ago
Text Categorization with Knowledge Transfer from Heterogeneous Data Sources
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...
Rakesh Gupta, Lev-Arie Ratinov