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TSMC
2010
13 years 2 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
TEC
2010
191views more  TEC 2010»
13 years 2 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
ICRA
2007
IEEE
149views Robotics» more  ICRA 2007»
14 years 1 months ago
daVinci Code: A Multi-Model Simulation and Analysis Tool for Multi-Body Systems
Abstract— This paper discusses the design and current capabilities of a new software tool, dVC, capable of simulating planar systems of bodies experiencing unilateral contacts wi...
Stephen Berard, Jeffrey C. Trinkle, Binh Nguyen, B...
ANOR
2002
99views more  ANOR 2002»
13 years 7 months ago
An Inventory-Location Model: Formulation, Solution Algorithm and Computational Results
We introduce a distribution center (DC) location model that incorporates working inventory and safety stock inventory costs at the distribution centers. In addition, the model inco...
Mark S. Daskin, Collette R. Coullard, Zuo-Jun Max ...
SIGECOM
2004
ACM
120views ECommerce» more  SIGECOM 2004»
14 years 25 days ago
Computational criticisms of the revelation principle
The revelation principle is a cornerstone tool in mechanism design. It states that one can restrict attention, without loss in the designer’s objective, to mechanisms in which A...
Vincent Conitzer, Tuomas Sandholm