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ICMLA
2009
15 years 4 months ago
Knowledge Transfer for Feature Generation in Document Classification
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, ...
Jian Zhang, Shobhit S. Shakya
CIKM
2011
Springer
14 years 6 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
FLAIRS
2007
15 years 9 months ago
A Machine Learning Approach to Personal Pronoun Resolution in Turkish
In this paper, we present a machine learning based approach for estimating antecedents of anaphorically used personal pronouns in Turkish sentences using a decision tree classific...
Savas Yildirim, Yilmaz Kiliçaslan
WWW
2005
ACM
16 years 7 months ago
Learning how to learn with web contents
Learning Web contents requires learners not only to navigate the Web pages to construct their own knowledge from the contents learned at and between the pages, but also to control...
Akihiro Kashihara, Shinobu Hasegawa
IADIS
2004
15 years 8 months ago
Designing Meta-Learning Tool for Learning Web Contents
Learning in hyperspace provided by Web contents requires learners not only to navigate the Web pages to construct their own knowledge from the contents learned at and between the ...
Akihiro Kashihara, Shinobu Hasegawa