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TIT
2008
109views more  TIT 2008»
14 years 10 months ago
Statistical Analysis of Bayes Optimal Subset Ranking
Abstract--The ranking problem has become increasingly important in modern applications of statistical methods in automated decision making systems. In particular, we consider a for...
David Cossock, Tong Zhang
71
Voted
FLAIRS
2004
14 years 12 months ago
An Application of Neural Networks to Sequence Analysis and Genre Identification
This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the ...
David Bisant
TNN
2010
185views Management» more  TNN 2010»
14 years 5 months ago
An adaptive multiobjective approach to evolving ART architectures
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
15 years 10 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...
74
Voted
ICML
2008
IEEE
15 years 11 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...