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ICML
2003
IEEE
15 years 10 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
15 years 9 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
ICDE
2004
IEEE
179views Database» more  ICDE 2004»
15 years 10 months ago
CrossMine: Efficient Classification Across Multiple Database Relations
Most of today's structured data is stored in relational databases. Such a database consists of multiple relations which are linked together conceptually via entity-relationsh...
Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu
RECOMB
2010
Springer
14 years 11 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
ICCV
2005
IEEE
15 years 11 months ago
Deformation Invariant Image Matching
We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D spac...
Haibin Ling, David W. Jacobs