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ILP
2000
Springer
13 years 11 months ago
Learning First Order Logic Time Series Classifiers
A method for learning multivariate time series classifiers by inductive logic programming is presented. Two types of background predicate that are suited for this task are introduc...
Juan José Rodríguez, Carlos J. Alons...
NAACL
2007
13 years 9 months ago
First-Order Probabilistic Models for Coreference Resolution
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Aron Culotta, Michael L. Wick, Andrew McCallum
SIAMIS
2010
116views more  SIAMIS 2010»
13 years 6 months ago
Higher-Order Feature-Preserving Geometric Regularization
We introduce two fourth-order regularization methods that remove geometric noise without destroying significant geometric features. These methods leverage ideas from image denoisi...
Marc Droske, Andrea Bertozzi
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 1 months ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
ICASSP
2011
IEEE
12 years 11 months ago
A novel algorithm of seeking FrFT order for speech processing
The determination of the optimal fractional Fourier transform (FrFT) order is a crucial issue for FrFT. This paper introduces a novel algorithm is proposed for the estimation of F...
Duo-jia Ma, Xiang Xie, Jingming Kuang