130 search results - page 1 / 26 » Knowledge Transfer for Feature Generation in Document Classi... |
ICMLA
2009
13 years 4 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
ICDM
2009
IEEE
13 years 4 months ago
2009
IEEE
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
: Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
WWW
2009
ACM
14 years 7 months ago
2009
ACM
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data ar...