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AAAI
2010
15 years 6 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
15 years 6 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
15 years 5 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...
124
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USENIX
2000
15 years 5 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»
15 years 4 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...