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» Learning and using relational theories
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CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 10 months ago
Learning to rank with combinatorial Hodge theory
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
AIME
2005
Springer
13 years 12 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
JOLLI
2002
74views more  JOLLI 2002»
13 years 9 months ago
Referent Systems and Relational Grammar
Abstract. Relational Grammar (RG) was introduced in the 70's as a theory of grammatical relations and relation change, for example, passivization, dative shift, and raising. F...
Marcus Kracht
ICIP
2008
IEEE
14 years 11 months ago
Recovering wavelet relations using SVM for image denoising
Here we propose an alternative non-explicit way to take into account the relations among wavelet coefficients in natural images for denoising: we use Support Vector Machines (SVM)...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
13 years 11 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens