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» Learning from Multiple Sources of Inaccurate Data
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WWW
2008
ACM
16 years 4 months ago
Learning multiple graphs for document recommendations
The Web offers rich relational data with different semantics. In this paper, we address the problem of document recommendation in a digital library, where the documents in questio...
Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Bel...
IEEECIT
2010
IEEE
15 years 2 months ago
Superblock-Based Source Code Optimizations for WCET Reduction
—Superblocks represent regions in a program code that consist of multiple basic blocks. Compilers benefit from this structure since it enables optimization across block boundari...
Paul Lokuciejewski, Timon Kelter, Peter Marwedel
109
Voted
ICIP
1998
IEEE
16 years 5 months ago
Multiple Description Transform Coding of Images
Generalized multiple description coding (GMDC) is source coding for multiple channels such that a decoder which receives an arbitrary subset of the channels may produce a useful r...
Vivek K. Goyal, Jelena Kovacevic, Ramon Arean, Mar...
113
Voted
FSKD
2006
Springer
124views Fuzzy Logic» more  FSKD 2006»
15 years 7 months ago
An Effective Combination of Multiple Classifiers for Toxicity Prediction
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
AAAI
2010
15 years 4 months ago
Transfer Learning in Collaborative Filtering for Sparsity Reduction
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...