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ESWA
2008
204views more  ESWA 2008»
14 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
ML
2002
ACM
163views Machine Learning» more  ML 2002»
14 years 9 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
POPL
2007
ACM
15 years 10 months ago
Geometry of synthesis: a structured approach to VLSI design
We propose a new technique for hardware synthesis from higherorder functional languages with imperative features based on Reynolds's Syntactic Control of Interference. The re...
Dan R. Ghica
IJCAI
2007
14 years 11 months ago
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling
Recently, generative probabilistic modeling principles were extended to visualization of structured data types, such as sequences. The models are formulated as constrained mixture...
Peter Tino, Nikolaos Gianniotis
FCCM
2007
IEEE
111views VLSI» more  FCCM 2007»
15 years 4 months ago
A Structural Object Programming Model, Architecture, Chip and Tools for Reconfigurable Computing
A new platform for reconfigurable computing has an object-based programming model, with architecture, silicon and tools designed to faithfully realize this model. The platform is ...
Michael Butts, Anthony Mark Jones, Paul Wasson