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IJCNN
2006
IEEE
14 years 3 months ago
Relative Gradient Learning for Independent Subspace Analysis
Abstract— Independent subspace analysis (ISA) is a generalization of independent component analysis (ICA), where multidimensional ICA is incorporated with the idea of invariant f...
Heeyoul Choi, Seungjin Choi
WEBI
2004
Springer
14 years 3 months ago
TSSP: A Reinforcement Algorithm to Find Related Papers
Content analysis and citation analysis are two common methods in recommending system. Compared with content analysis, citation analysis can discover more implicitly related papers...
Shen Huang, Gui-Rong Xue, Benyu Zhang, Zheng Chen,...
ICDAR
1999
IEEE
14 years 1 months ago
Models and Algorithms for Duplicate Document Detection
This paper introduces a framework for clarifying and formalizing the duplicate document detection problem. Four distinct models are presented, each with a corresponding algorithm ...
Daniel P. Lopresti
TIT
2008
76views more  TIT 2008»
13 years 9 months ago
Improved Risk Tail Bounds for On-Line Algorithms
We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
Nicolò Cesa-Bianchi, Claudio Gentile
CSDA
2004
105views more  CSDA 2004»
13 years 9 months ago
Computational aspects of algorithms for variable selection in the context of principal components
Variable selection consists in identifying a k-subset of a set of original variables that is optimal for a given criterion of adequate approximation to the whole data set. Several...
Jorge Cadima, J. Orestes Cerdeira, Manuel Minhoto