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» Using Bayesian Networks to Model Agent Relationships
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ESANN
2000
14 years 11 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
WECWIS
2007
IEEE
148views ECommerce» more  WECWIS 2007»
15 years 4 months ago
The Core and Shapley Value Analysis for Cooperative Formation of Procurement Networks
Formation of high value procurement networks involves a bottom-up assembly of complex production, assembly, and exchange relationships through supplier selection and contracting d...
T. S. Chandrashekar, Y. Narahari
ICML
2005
IEEE
15 years 11 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
WSC
2000
14 years 11 months ago
Use of discrete event simulation to validate an agent based scheduling engine
This paper discusses the use of simulation in a new context. Most often QUEST is viewed as a stand-alone simulation tool to analyze and understand shop floor behavior. It has rare...
Shubhabrata Biswas, Sara Merchawi
CRV
2005
IEEE
208views Robotics» more  CRV 2005»
15 years 3 months ago
Topology Inference for a Vision-Based Sensor Network
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
Dimitri Marinakis, Gregory Dudek