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ACL
2006
15 years 9 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
213
Voted
ECML
2006
Springer
15 years 11 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
WWW
2008
ACM
16 years 8 months ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
SIGMOD
2002
ACM
135views Database» more  SIGMOD 2002»
16 years 7 months ago
StatiX: making XML count
The availability of summary data for XML documents has many applications, from providing users with quick feedback about their queries, to cost-based storage design and query opti...
Juliana Freire, Jayant R. Haritsa, Maya Ramanath, ...
188
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ICDM
2008
IEEE
168views Data Mining» more  ICDM 2008»
16 years 2 months ago
Measuring Proximity on Graphs with Side Information
This paper studies how to incorporate side information (such as users’ feedback) in measuring node proximity on large graphs. Our method (ProSIN) is motivated by the well-studie...
Hanghang Tong, Huiming Qu, Hani Jamjoom