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» On the Optimality of the Dimensionality Reduction Method
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ICPR
2000
IEEE
15 years 10 months ago
Constrained Mixture Modeling of Intrinsically Low-Dimensional Distributions
In this paper we introduce a novel way of modeling distributions with a low latent dimensionality. Our method allows for a strict control of the properties of the mapping between ...
Joris Portegies Zwart, Ben J. A. Kröse
TCAD
2008
107views more  TCAD 2008»
15 years 6 months ago
Power Grid Analysis and Optimization Using Algebraic Multigrid
Abstract--This paper presents a class of power grid analysis and optimization techniques, all of which are based on the algebraic-multigrid (AMG) method. First, a new AMG-based red...
Cheng Zhuo, Jiang Hu, Min Zhao, Kangsheng Chen
ICML
1997
IEEE
15 years 10 months ago
A Comparative Study on Feature Selection in Text Categorization
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
Yiming Yang, Jan O. Pedersen
ICML
2006
IEEE
16 years 7 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
JDCTA
2010
146views more  JDCTA 2010»
15 years 29 days ago
Modelling for Cruise Two-Dimensional Online Revenue Management System
To solve the cruise two-dimensional revenue management problem and develop such an automated system under uncertain environment, a static model which is a stochastic integer progr...
Bingzhou Li