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IJCNN
2006
IEEE
16 years 14 days ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
CVPR
2003
IEEE
16 years 8 months ago
Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters via Bayesian Inference
12 In this paper we study the problem of shape analysis and its application in locating facial feature points on frontal faces. We propose a Bayesian inference solution based on ta...
Yi Zhou, Lie Gu, HongJiang Zhang
IEEESCC
2008
IEEE
16 years 26 days ago
A 3-level e-Business Registry Meta Model
Business partners willing to do business electronically with each other must reach an agreement (1) on the economic level, (2) on the inter-organizational process choreography, an...
Christian Huemer, Philipp Liegl, Rainer Schuster, ...
KI
2007
Springer
16 years 18 days ago
Knowledge-Based Approach to the Executable Design Concept
The paper describes the Executable Design Concept which is one of the main components of HeKatE: Hybrid Knowledge Engineering methodology. HeKatE project aims at developing a metho...
Grzegorz J. Nalepa, Igor Wojnicki
CIMCA
2005
IEEE
16 years 2 days ago
A Hybrid Estimation of Distribution Algorithm for the Minimal Switching Graph Problem
Minimal Switching Graph (MSG) is a graphical model for the constrained via minimization problem — a combinatorial optimization problem in integrated circuit design automation. F...
Maolin Tang, Raymond Y. K. Lau