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» Can Document Selection Help Semi-supervised Learning
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145
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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 3 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
FAST
2010
15 years 5 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
104
Voted
EGOV
2004
Springer
15 years 8 months ago
Software Acquisition Based on Business Models
In this paper, we present an approach based on hierarchically structured business models as artifacts of business process modeling that are used in a stepwise acquisition process f...
Peter Regner, Thomas Wiesinger, Josef Küng, R...
113
Voted
CIKM
2008
Springer
15 years 4 months ago
Translation enhancement: a new relevance feedback method for cross-language information retrieval
As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and cross-language information retrieval (CLIR...
Daqing He, Dan Wu
122
Voted
NAACL
2003
15 years 4 months ago
Monolingual and Bilingual Concept Visualization from Corpora
e by placing terms in an abstract ‘information space’ based on their occurrences in text corpora, and then allowing a user to visualize local regions of this information space....
Dominic Widdows, Scott Cederberg