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JCIT
2008
94views more  JCIT 2008»
14 years 11 months ago
Finding Semantic Errors in the Rule-base of Production Systems, and Reasoning with Insufficient Input Data Petri-net-based Appro
Two simple but practical production systems are modeled using Petri Nets. Petri-net models are very useful in finding semantic errors like generalization error and missing conditi...
Hong-Youl Lee
ASPDAC
2007
ACM
117views Hardware» more  ASPDAC 2007»
15 years 3 months ago
A Current-based Method for Short Circuit Power Calculation under Noisy Input Waveforms
An accurate model is presented to calculate the short circuit energy dissipation of logic cells. The short circuit current is highly dependent on the input and output voltage valu...
Hanif Fatemi, Shahin Nazarian, Massoud Pedram
NIPS
2004
15 years 1 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
ESANN
2008
15 years 1 months ago
Selection of important input variables for RBF network using partial derivatives
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
Jarkko Tikka, Jaakko Hollmén
CDC
2010
IEEE
129views Control Systems» more  CDC 2010»
14 years 6 months ago
On optimal input signal design for frequency response estimation
This paper studies optimal input excitation design for parametric frequency response estimation. We will focus on least-squares estimation of Finite Impulse Response (FIR) models a...
Bo Wahlberg, Håkan Hjalmarsson, Petre Stoica