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» Multi-Resolution Learning for Knowledge Transfer
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SIGSOFT
2001
ACM
16 years 11 days 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
103
Voted
AAAI
2008
15 years 1 months 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
110
Voted
ACCV
2010
Springer
14 years 6 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
EDM
2009
179views Data Mining» more  EDM 2009»
14 years 9 months ago
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models
This paper describes a novel method to create a quantitative model of an educational content domain of related practice item-types using learning curves. By using a pairwise test t...
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinge...
HICSS
2003
IEEE
152views Biometrics» more  HICSS 2003»
15 years 4 months ago
Advanced Technology and Knowledge Transfer
This paper reports on a specific food and agribusiness industry project, employing new technological capabilities to better transfer expert knowledge. Knowledge transfer and techn...
Geetanjali Tandon, Steven T. Sonka