Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
Tóm tắt
Từ khóa
Tài liệu tham khảo
satpal, 2007, Domain Adaptation of Conditional Probability Models via Feature Subsetting, Proc 11th European Conf Principles and Practice of Knowledge Discovery in Databases
ben-david, 2006, Advances in Neural Information Processing Systems 19
daum�, 2007, Frustratingly Easy Domain Adaptation, Proc 42nd Ann Meeting of the Assoc for Computational Linguistics
dai, 2007, Transferring Na�ve Bayes Classifier for Text Classification, Proc Nat'l Conf Artificial Intelligence
bennett, 1998, Advances in neural information processing systems, 10, 368
zhu, 2005, Semi-Supervised Learning Literature Survey
vapnik, 1998, Statistical Learning Theory
platt, 1998, Advances in Kernel Methods Support Vector Learning, 185
cristianini, 2000, An Introduction to Support Vector Machines
lal, 2004, Advances in Neural Information Processing Systems 17
2008
joachims, 1999, Transductive Inference for Text Classification Using Support Vector Machines, Proc 16th Int'l Conf Machine Learning
dudik, 2005, Advances in Neural Information Processing Systems 17
huang, 2007, Advances in Neural Information Processing Systems 20
gildea, 2001, Corpus Variation and Parser Performance, Proc 2001 Conf Empirical Methods in Natural Language Processing
ben-david, 2003, Exploiting Task Relatedness for Multiple Task Learning, Proc 16th Ann Conf Learning Theory
chelba, 2004, Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lot, Proc 2004 Conf Empirical Methods in Natural Language Processing
li, 2007, A Bayesian Divergence Prior for Classifier Adaptation, Proc 11th Int'l Conf Artificial Intelligence and Statistics
jiang, 2007, Instance Weighting for Domain Adaptation in NLP, Proc 42nd Ann Meeting of the Assoc for Computational Linguistics
daum�, 2006, Domain Adaptation for Statistical Classifiers, J Artificial Intelligence Research, 26, 101, 10.1613/jair.1872
florian, 2004, A Statistical Model for Multilingual Entity Detection and Tracking, Proc 2004 Conf North Am Chapter of the Assoc for Computational Linguistics and Human Language Technology