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HIS
2009
14 years 11 months ago
A Particle Swarm Optimization with Feasibility-Based Rules for Mixed-Variable Optimization Problems
A Particle Swarm Optimization algorithm with feasibility-based rules (FRPSO) is proposed in this paper to solve mixed-variable optimization problems. An approach to handle various ...
Chao-Li Sun, Jian-Chao Zeng, Jeng-Shyang Pan
SIGSOFT
2005
ACM
15 years 7 months ago
PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code
Programs usually follow many implicit programming rules, most of which are too tedious to be documented by programmers. When these rules are violated by programmers who are unawar...
Zhenmin Li, Yuanyuan Zhou
COLING
2010
14 years 9 months ago
Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation
Syntax based reordering has been shown to be an effective way of handling word order differences between source and target languages in Statistical Machine Translation (SMT) syste...
Karthik Visweswariah, Jiri Navratil, Jeffrey S. So...
TCSB
2010
15 years 9 days ago
Rule-Based Modeling of Transcriptional Attenuation at the Tryptophan Operon
Transcriptional attenuation at E.coli’s tryptophan operon is a prime example of RNA-mediated gene regulation. In this paper, we present a discrete stochastic model for this pheno...
Céline Kuttler, Cédric Lhoussaine, M...
IJCNN
2008
IEEE
15 years 8 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan