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GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
15 years 8 months ago
Multi-objective memetic approach for flexible process sequencing problems
This paper describes a multi-objective memetic approach for solving multi-objective flexible process sequencing problems in flexible manufacturing systems (FMSs). FMS can be des...
Jian-Hong Chen, Jian-Hung Chen
ICMCS
2010
IEEE
229views Multimedia» more  ICMCS 2010»
15 years 8 months ago
Decoder-side motion vector derivation for hybrid video inter coding
The ongoing increase of computing performance facilitates a higher algorithmical complexity in video coding systems. The decoder may be able to estimate or derive prediction param...
Steffen Kamp, Mathias Wien
ICML
2010
IEEE
15 years 8 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic
200
Voted
ICML
2010
IEEE
15 years 8 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
ICML
2010
IEEE
15 years 8 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
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