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AAAI
2011
13 years 12 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
IDEAL
2005
Springer
15 years 5 months ago
Co-evolutionary Rule-Chaining Genetic Programming
Abstract. A novel Genetic Programming (GP) paradigm called Coevolutionary Rule-Chaining Genetic Programming (CRGP) has been proposed to learn the relationships among attributes rep...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
INTERACT
2003
15 years 1 months ago
Programmorphosis: a Knowledge-Based Approach to End-User Programming
: Whereas sophisticated computer users can exercise more control in what they are exposed to and produce computational artifacts, technologically challenged end-users assume a more...
Andri Ioannidou
ATAL
2009
Springer
15 years 6 months ago
Resource allocation with answer-set programming
Multi-agent resource allocation is a growing area of research at the frontier between Economics and Computer Science. Despite the extensive theoretical work and raising number of ...
João Leite, José Júlio Alfere...
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 28 days ago
Varying portfolio construction of stocks using genetic network programming with control nodes
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...