Papers

With Tag: Learning Artificial Intelligence

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A comparison between recurrent neural network architectures for digital equalization

Mikel L Forcada, Jorge D Ortizfuentes
1997 | 10.1109/ICASSP.1997.595494

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Totally-corrective boosting using continuous-valued weak learners

Jiwei Hu, Kinman Lam, Sanyuan Zhao, Chensheng Sun
2012 | 10.1109/ICASSP.2012.6288312

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Learning varying dimension radial basis functions for deformable image alignment

Hongdong Li, Di Yang
2009 | 10.1109/ICCVW.2009.5457681

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Wormholes in shape space: tracking through discontinuous changes in shape

David Hogg, Tony Heap
1998 | 10.1109/ICCV.1998.710741

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Object detection by joint features based on two-stage boosting

Hironobu Fujiyoshi, Tomokazu Mitsui
2009 | 10.1109/ICCVW.2009.5457478

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Human motion segmentation and object recognition using fuzzy rules

J E Hunter
2005 | 10.1109/ROMAN.2005.1513781

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Multiple-Instance learning from multiple perspectives: Combining models for Multiple-Instance learning

Wei Wang, Bang Zhang, Yang Wang
2012 | 10.1109/WACV.2012.6163044

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Optimum multi-user signal detector in SSMA communication systems based on neural networks

Frank Ibikunle
1998 | 10.1109/ISSSTA.1998.722502

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An evolutionary algorithm for multi-robot unsupervised learning

Philippe Lucidarme
2004 | 10.1109/CEC.2004.1331171

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Learning based gaits evolution for an AIBO dog

Jiaqi Zhang, Qijun Chen
2007 | 10.1109/CEC.2007.4424653

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GP-based kernel evolution for L 2 -Regularization Networks

Aurelio Uncini, Danilo Comminiello, Michele Scarpiniti, Simone Scardapane
2014 | 10.1109/CEC.2014.6900389

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Pattern-based preservation of building blocks in genetic algorithms

Yoshitaka Kameya, Chativit Prayoonsri
2011 | 10.1109/CEC.2011.5949939

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A hybrid global/local optimization technique for robust training of microwave neural network models

Hiroshi Ninomiya
2009 | 10.1109/CEC.2009.4983315

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Learning to focus selectively on possible lines of play in checkers

Thomas M English
2001 | 10.1109/CEC.2001.934302

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Towards effective improvement of the Bayesian Belief Network Structure learning

Yin Wu, Kun Tian, Joao W Cangussu, Yan Tang, Kendra Cooper
2010 | 10.1109/ISI.2010.5484745

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A Safe Approach to Shrink Email Sample Set while Keeping Balance between Spam and Normal

Lili Diao, Hao Wang
2009 | 10.1109/SSIRI.2009.66

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The application of ant colony system to image textute classification [textute read texture]

Hong Zheng, Zhaobao Zheng, Yong Xiang
2003 | 10.1109/ICMLC.2003.1259730

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An improved learning algorithm for the fuzzy ARTMAP neural network

Guszti Bartfai
1995 | 10.1109/ANNES.1995.499433

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SMO Algorithm Applied in Time Series Model Building and Forecast

Daping Xu, Jinfang Yang, Yongjie Zhai, Pu Han
2007 | 10.1109/ICMLC.2007.4370546

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