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FLAIRS
2000
13 years 10 months ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar
ESSLLI
2009
Springer
13 years 6 months ago
Variable Selection in Logistic Regression: The British English Dative Alternation
This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...
Daphne Theijssen
IRAL
2003
ACM
14 years 2 months ago
Feature selection in categorizing procedural expressions
Text categorization, as an essential component of applications for user navigation on the World Wide Web using QuestionAnswering in Japanese, requires more effective features for ...
Mineki Takechi, Takenobu Tokunaga, Yuji Matsumoto,...
ISVLSI
2007
IEEE
151views VLSI» more  ISVLSI 2007»
14 years 3 months ago
Design of a MCML Gate Library Applying Multiobjective Optimization
In this paper, the problem of sizing MOS Current Mode Logic (MCML) circuits is addressed. The Pareto front is introduced as a useful analysis tool to explore the design space of e...
Roberto Pereira-Arroyo, Pablo Alvarado-Moya, Wolfg...
ISQED
2003
IEEE
215views Hardware» more  ISQED 2003»
14 years 2 months ago
Low-Cost and Real-Time Super-Resolution over a Video Encoder IP
This paper addresses a low-cost and real-time solution for the implementation of super-resolution (SR) algorithms over SOC (System-On-Chip) platforms in order to achieve high-qual...
Gustavo Marrero Callicó, Antonio Nú&...