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AAAI
2011
14 years 6 months ago
Transfer Learning by Structural Analogy
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
Hua-Yan Wang, Qiang Yang
WWW
2007
ACM
16 years 7 months ago
Using Google distance to weight approximate ontology matches
Discovering mappings between concept hierarchies is widely regarded as one of the hardest and most urgent problems facing the Semantic Web. The problem is even harder in domains w...
Risto Gligorov, Warner ten Kate, Zharko Aleksovski...
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
16 years 22 days ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi
LREC
2008
57views Education» more  LREC 2008»
15 years 8 months ago
A Development Environment for Configurable Meta-Annotators in a Pipelined NLP Architecture
Information extraction from large data repositories is critical to Information Management solutions. In addition to prerequisite corpus analysis, to determine domain-specific char...
Youssef Drissi, Branimir Boguraev, David Ferrucci,...
TIP
2010
152views more  TIP 2010»
15 years 5 months ago
Rate-Distortion Optimized Bitstream Extractor for Motion Scalability in Wavelet-Based Scalable Video Coding
—Motion scalability is designed to improve the coding efficiency of a scalable video coding framework, especially in the medium to low range of decoding bit rates and spatial re...
Meng-Ping Kao, T. Q. Nguyen