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NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 10 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
PAMI
2006
141views more  PAMI 2006»
13 years 10 months ago
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
Stéphane Lafon, Ann B. Lee
RTS
2006
84views more  RTS 2006»
13 years 10 months ago
Finite-horizon scheduling of radar dwells with online template construction
Timing constraints for radar tasks are usually specified in terms of the minimum and maximum temporal distance between successive radar dwells. We utilize the idea of feasible int...
Sathish Gopalakrishnan, Marco Caccamo, Chi-Sheng S...
IJCSS
2007
97views more  IJCSS 2007»
13 years 10 months ago
Collaborative Multi-Agent-based e-Commerce Framework
Software agents offer a promise to change electronic commerce trading by helping traders to purchase products based on their interests and preferences. E-commerce systems are incr...
Tarek Helmy
IJCV
2007
163views more  IJCV 2007»
13 years 10 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele