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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
14 years 11 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
KDD
2010
ACM
323views Data Mining» more  KDD 2010»
14 years 11 months ago
TIARA: a visual exploratory text analytic system
In this paper, we present a novel exploratory visual analytic system called TIARA (Text Insight via Automated Responsive Analytics), which combines text analytics and interactive ...
Furu Wei, Shixia Liu, Yangqiu Song, Shimei Pan, Mi...
87
Voted
KDD
2010
ACM
242views Data Mining» more  KDD 2010»
14 years 11 months ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye
83
Voted
CIKM
2008
Springer
14 years 11 months ago
Non-local evidence for expert finding
The task addressed in this paper, finding experts in an enterprise setting, has gained in importance and interest over the past few years. Commonly, this task is approached as an ...
Krisztian Balog, Maarten de Rijke
68
Voted
CIKM
2008
Springer
14 years 11 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...
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