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AAAI
2010
14 years 11 months ago
Multi-Instance Dimensionality Reduction
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou
UAI
2004
14 years 11 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
ESANN
2000
14 years 11 months ago
Influence of weight-decay training in input selection methods
We describe the results of a research on the effect of weight-decay (WD) in input selection methods based on the analysis of a trained multilayer feedforward network. It was propos...
Mercedes Fernández-Redondo, Carlos Hern&aac...
USENIX
2000
14 years 11 months ago
The Globe Distribution Network
The goal of the Globe project is to design and build a middleware platform that facilitates the development of large-scale distributed applications, such as those found on the Int...
Arno Bakker, E. Amade, Gerco Ballintijn, Ihor Kuz,...
TCSV
2008
94views more  TCSV 2008»
14 years 10 months ago
FGS Coding Using Cycle-Based Leaky Prediction Through Multiple Leaky Factors
This paper proposes a fine granularity scalable (FGS) coding using cycle-based leaky prediction, in which the multiple leaky factors are used to yield enhancement layer prediction ...
Xiangyang Ji, Yanyan Zheng, Debin Zhao, Feng Wu, W...