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ESWA
2008
204views more  ESWA 2008»
14 years 10 months ago
A comparison of neural network and multiple regression analysis in modeling capital structure
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...
Hsiao-Tien Pao
AAAI
2011
13 years 10 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
MICCAI
2005
Springer
15 years 11 months ago
Finite Element Modeling of Brain Tumor Mass-Effect from 3D Medical Images
Motivated by the need for methods to aid the deformable registration of brain tumor images, we present a three-dimensional (3D) mechanical model for simulating large non-linear def...
Ashraf Mohamed, Christos Davatzikos
KBS
2002
136views more  KBS 2002»
14 years 9 months ago
Diagnostic reasoning based on means-end models: experiences and future prospects
Multilevel Flow Models (MFM) are graphical models of goals and functions of technical systems. MFM was invented by Morten Lind at the Technical University of Denmark and several n...
Jan Eric Larsson
ICPR
2002
IEEE
15 years 11 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain