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» Using Bayesian Networks to Model Agent Relationships
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ESANN
2000
15 years 3 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 8 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
16 years 2 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
15 years 3 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 7 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