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SDM
2007
SIAM
108views Data Mining» more  SDM 2007»
15 years 6 months ago
Semi-Supervised Dimensionality Reduction
Dimensionality reduction is among the keys in mining highdimensional data. This paper studies semi-supervised dimensionality reduction. In this setting, besides abundant unlabeled...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
COLING
2010
14 years 11 months ago
Active Deep Networks for Semi-Supervised Sentiment Classification
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
Shusen Zhou, Qingcai Chen, Xiaolong Wang
STOC
2004
ACM
129views Algorithms» more  STOC 2004»
16 years 5 months ago
Sorting and searching in the presence of memory faults (without redundancy)
We investigate the design of algorithms resilient to memory faults, i.e., algorithms that, despite the corruption of some memory values during their execution, are able to produce...
Irene Finocchi, Giuseppe F. Italiano
SOSP
2007
ACM
16 years 1 months ago
Sinfonia: a new paradigm for building scalable distributed systems
We propose a new paradigm for building scalable distributed systems. Our approach does not require dealing with message-passing protocols—a major complication in existing distri...
Marcos Kawazoe Aguilera, Arif Merchant, Mehul A. S...
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 10 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han