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ICML
2003
IEEE
14 years 9 months ago
Adaptive Overrelaxed Bound Optimization Methods
We study a class of overrelaxed bound optimization algorithms, and their relationship to standard bound optimizers, such as ExpectationMaximization, Iterative Scaling, CCCP and No...
Ruslan Salakhutdinov, Sam T. Roweis
VLDB
2007
ACM
174views Database» more  VLDB 2007»
14 years 9 months ago
An adaptive and dynamic dimensionality reduction method for high-dimensional indexing
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
Heng Tao Shen, Xiaofang Zhou, Aoying Zhou
SPLC
2007
13 years 10 months ago
A Variability Modeling Method for Adaptable Services in Service-Oriented Computing
Publish-Discover-Compose paradigm of Service-Oriented Computing (SOC) presents a challenge on service applicability. Services are not just for predefined clients, rather for poten...
Soo Ho Chang, Soo Dong Kim
EOR
2007
165views more  EOR 2007»
13 years 8 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
AMR
2007
Springer
154views Multimedia» more  AMR 2007»
14 years 3 months ago
Comparison of Dimension Reduction Methods for Database-Adaptive 3D Model Retrieval
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
Ryutarou Ohbuchi, Jun Kobayashi, Akihiro Yamamoto,...