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» Why collective inference improves relational classification
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ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
13 years 9 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 5 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
ICCBR
2009
Springer
13 years 12 months ago
Case-Based Collective Inference for Maritime Object Classification
Maritime assets such as merchant and navy ships, ports, and harbors, are targets of terrorist attacks as evidenced by the USS Cole bombing. Conventional methods of securing maritim...
Kalyan Moy Gupta, David W. Aha, Philip Moore
EMNLP
2010
13 years 2 months ago
Collective Cross-Document Relation Extraction Without Labelled Data
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Limin Yao, Sebastian Riedel, Andrew McCallum
CHI
2009
ACM
14 years 3 days ago
Understanding why we preserve some things and discard others in the context of interaction design
This paper takes up the problem of understanding why we preserve some things passionately and discard others without thought. We briefly report on the theoretical literature relat...
William Odom, James Pierce, Erik Stolterman, Eli B...