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COGSR
2011
105views more  COGSR 2011»
13 years 2 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
ICCAD
2001
IEEE
107views Hardware» more  ICCAD 2001»
14 years 4 months ago
Fast 3-D Inductance Extraction in Lossy Multi-Layer Substrate
A mixed potential integral equation (MPIE) technique combined with fast multi-layer Green’s functions and Gaussian Jacobi high order techniques is used to compute the 3-D freque...
Minqing Liu, Tiejun Yu, Wayne Wei-Ming Dai
DIS
2006
Springer
13 years 11 months ago
Experiences from a Socio-economic Application of Induction Trees
This paper presents a full scaled application of induction trees for non-classificatory purposes. The grown trees are used for highlighting regional differences in the women's...
Fabio B. Losa, Pau Origoni, Gilbert Ritschard
IFIP12
2008
13 years 9 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
TVLSI
2010
13 years 2 months ago
Fast Analysis of a Large-Scale Inductive Interconnect by Block-Structure-Preserved Macromodeling
To efficiently analyze the large-scale interconnect dominant circuits with inductive couplings (mutual inductances), this paper introduces a new state matrix, called VNA, to stamp ...
Hao Yu, Chunta Chu, Yiyu Shi, David Smart, Lei He,...