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135
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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 3 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
117
Voted
MOBISYS
2009
ACM
16 years 3 months ago
xShare: supporting impromptu sharing of mobile phones
Loaded with personal data, e.g. photos, contacts, and call history, mobile phones are truly personal devices. Yet it is often necessary or desirable to share our phones with other...
Yunxin Liu, Ahmad Rahmati, Yuanhe Huang, Hyukjae J...
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
16 years 3 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 3 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
212
Voted
POPL
2008
ACM
16 years 2 months ago
Demand-driven alias analysis for C
This paper presents a demand-driven, flow-insensitive analysis algorithm for answering may-alias queries. We formulate the computation of alias queries as a CFL-reachability probl...
Xin Zheng, Radu Rugina
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