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ESWA
2008
204views more  ESWA 2008»
13 years 9 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
LION
2010
Springer
209views Optimization» more  LION 2010»
14 years 1 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
DAC
2010
ACM
13 years 9 months ago
Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression
In this paper, we propose a novel multi-mode/multi-corner sparse regression (MSR) algorithm to build large-scale performance models of integrated circuits at multiple working mode...
Wangyang Zhang, Tsung-Hao Chen, Ming Yuan Ting, Xi...
APSEC
2005
IEEE
14 years 2 months ago
Simulation-based Validation and Defect Localization for Evolving, Semi-Formal Requirements Models
When requirements models are developed in an iterative and evolutionary way, requirements validation becomes a major problem. In order to detect and fix problems early, the speci...
Christian Seybold, Silvio Meier
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
14 years 1 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how di...
Xiao Zhang, Prasenjit Mitra