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ICML
2009
IEEE
14 years 6 months ago
Orbit-product representation and correction of Gaussian belief propagation
Jason K. Johnson, Vladimir Y. Chernyak, Michael Ch...
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
13 years 11 months ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
WEBI
2010
Springer
13 years 3 months ago
Relations Expansion: Extracting Relationship Instances from the Web
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
13 years 11 months ago
Back propagation learning of neural networks with chaotically-selected affordable neurons
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
Yoko Uwate, Yoshifumi Nishio
ICML
2005
IEEE
14 years 6 months ago
Propagating distributions on a hypergraph by dual information regularization
In the information regularization framework by Corduneanu and Jaakkola (2005), the distributions of labels are propagated on a hypergraph for semi-supervised learning. The learnin...
Koji Tsuda