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IJCAI
2007
15 years 8 months ago
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
Volker Nannen, A. E. Eiben
LREC
2008
127views Education» more  LREC 2008»
15 years 8 months ago
MASC: the Manually Annotated Sub-Corpus of American English
To answer the critical need for sharable, reusable annotated resources with rich linguistic annotations, we are developing a Manually Annotated Sub-Corpus (MASC) including texts f...
Nancy Ide, Collin F. Baker, Christiane Fellbaum, C...
IJCAI
2007
15 years 8 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
NIPS
2008
15 years 8 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
MASCOTS
2007
15 years 8 months ago
A Novel Flow Control Scheme for Best Effort Traffic in NoC Based on Source Rate Utility Maximization
—Advances in semiconductor technology, has enabled designers to put complex, massively parallel multiprocessor systems on a single chip. Network on Chip (NoC) that supports high ...
Mohammad Sadegh Talebi, Fahimeh Jafari, Ahmad Khon...
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