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ISLPED
1997
ACM
114views Hardware» more  ISLPED 1997»
13 years 11 months ago
Cycle-accurate macro-models for RT-level power analysis
 In this paper we present a methodology and techniques for generating cycle-accurate macro-models for RTlevel power analysis. The proposed macro-model predicts not only...
Qinru Qiu, Qing Wu, Massoud Pedram, Chih-Shun Ding
ISSRE
2000
IEEE
14 years 17 hour ago
Building Trust into OO Components Using a Genetic Analogy
Despite the growing interest for component-based systems, few works tackle the question of the trust we can bring into a component. This paper presents a method and a tool for bui...
Benoit Baudry, Vu Le Hanh, Jean-Marc Jéz&ea...
TEC
2008
104views more  TEC 2008»
13 years 7 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson
EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Forecasting Exchange Rates: A Neuro-Fuzzy Approach
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
14 years 8 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett