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GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
15 years 10 months ago
Strong recombination, weak selection, and mutation
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
Alden H. Wright, J. Neal Richter
CBMS
2008
IEEE
15 years 8 months ago
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
EMNLP
2008
15 years 8 months ago
Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
In recent years, with the development of Chinese semantically annotated corpus, such as Chinese Proposition Bank and Normalization Bank, the Chinese semantic role labeling (SRL) t...
Weiwei Ding, Baobao Chang
IJCAI
2007
15 years 8 months ago
Emotions as Durative Dynamic State for Action Selection
Human intelligence requires decades of full-time training before it can be reliably utilised in modern economies. In contrast, AI agents must be made reliable but interesting in r...
Emmanuel Tanguy, Philip J. Willis, Joanna Bryson
SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
15 years 8 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...