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ICSM
2009
IEEE
14 years 1 months ago
Predicting change impact from logical models
To improve the ability of predicting the impact scope of a given change, we present two approaches applicable to the maintenance of object-oriented software systems. Our first ap...
Sunny Wong, Yuanfang Cai
SLIP
2000
ACM
13 years 11 months ago
Prediction of interconnect fan-out distribution using Rent's rule
Based on Rent’s rule, a well-established empirical relationship, a rigorous derivation of the interconnect fan-out distribution for random logic networks is performed. Through c...
Payman Zarkesh-Ha, Jeffrey A. Davis, William Loh, ...
AISS
2010
147views more  AISS 2010»
13 years 4 months ago
Correlating Lattice Constant of Cubic Perovskites to Atomic Parameters Using Support Vector Regression
Recently, due to problems arising from lattice mismatch in thin film growth in semiconductor manufacturing industry, researchers have shown great interest in modeling the physioch...
Abdul Majid, Yeon Soo Lee
EUSFLAT
2003
143views Fuzzy Logic» more  EUSFLAT 2003»
13 years 8 months ago
Prediction of surface roughness in ultraprecision turning using fuzzy logic
Ultraprecision turning is a manufacturing process used to generate a high surface roughness in precision components, and its input-output relationships are highly nonlinear. Surfa...
Arup Kumar Nandi
ICTAI
2007
IEEE
14 years 1 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman