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» Learning complex problem solving expertise from failures
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OPODIS
2004
13 years 9 months ago
Optimal Resilience Asynchronous Approximate Agreement
Consider an asynchronous system where each process begins with an arbitrary real value. Given some fixed > 0, an approximate agreement algorithm must have all non-faulty process...
Ittai Abraham, Yonatan Amit, Danny Dolev
AAAI
2008
13 years 10 months ago
POIROT - Integrated Learning of Web Service Procedures
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
EMNETS
2007
13 years 11 months ago
Robust node localization for wireless sensor networks
The node localization problem in Wireless Sensor Networks has received considerable attention, driven by the need to obtain a higher location accuracy without incurring a large, p...
Radu Stoleru, John A. Stankovic, Sang Hyuk Son
CVPR
2008
IEEE
14 years 9 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua
IJIT
2004
13 years 9 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...