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SAC
2011
ACM
14 years 9 months ago
Non parametric estimation of the structural expectation of a stochastic increasing function
This article introduces a non parametric warping model for functional data. When the outcome of an experiment is a sample of curves, data can be seen as realizations of a stochast...
J.-F. Dupuy, J.-M. Loubes, E. Maza
161
Voted
JMLR
2012
13 years 4 months ago
Transductive Learning of Structural SVMs via Prior Knowledge Constraints
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
Chun-Nam Yu
KDD
1995
ACM
106views Data Mining» more  KDD 1995»
15 years 6 months ago
Structured and Unstructured Induction with EDAGs
One objective of knowledge acquisition using inductive modeling has been the development of correct and effectively computable descriptions that can also be assimilated and used b...
Brian R. Gaines
UAI
2008
15 years 3 months ago
Multi-View Learning over Structured and Non-Identical Outputs
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
Kuzman Ganchev, João Graça, John Bli...
BMCBI
2006
102views more  BMCBI 2006»
15 years 2 months ago
Prediction of protein structural class with Rough Sets
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...