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Alıntı yapanlar
Alıntı yapanlar
Yıl
Incorporating diversity and density in active learning for relevance feedback
Z Xu, R Akella, Y Zhang
Advances in Information Retrieval: 29th European Conference on IR Research …, 2007
2672007
A bayesian logistic regression model for active relevance feedback
Z Xu, R Akella
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
542008
Active relevance feedback for difficult queries
Z Xu, R Akella
Proceedings of the 17th ACM conference on Information and knowledge …, 2008
412008
Method and system for facilitating batch mode active learning
Z Xu
US Patent App. 12/773,348, 2010
362010
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
Z Xu, R Akella
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
362008
Improving probabilistic information retrieval by modeling burstiness of words
Z Xu, R Akella
Information processing & management 46 (2), 143-158, 2010
82010
Enabling the discovery of recurring anomalies in aerospace system problem reports using high-dimensional clustering techniques
A Srivastava, R Akella, V Diev, SP Kumaresan, DM McIntosh, ...
IEEE Aerospace Conference, 2006
82006
Greedy is not enough: An efficient batch mode active learning algorithm
Z Xu, C Hogan, R Bauer
2009 IEEE International Conference on Data Mining Workshops, 326-331, 2009
72009
Knowledge sciences in services automation: Integration models and perspectives for service centers
R Akella, Z Xu, J Barajas, K Caballero
2009 IEEE International Conference on Automation Science and Engineering, 71-78, 2009
52009
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