Domain Adaptation via Transfer Component Analysis

10.1137/1.9781611970791

belkin, 2006, manifold regularization: a geometric framework for learning from labeled and unlabeled examples, J Mach Learn Res, 7, 2399

10.1109/TNN.2004.841784

cristianini, 2002, Advances in Neural Information Processing Systems 14, 367

10.1145/1281192.1281218

10.1016/B978-1-55860-377-6.50048-7

pan, 2009, domain adaptation via transfer component analysis, Proc 21st Int Joint Conf Artif Intell, 1187

sorensen, 1996, Implicitly restarted Arnoldi/Lanczos method for large scale eigenvalue calculations

pan, 2008, transfer learning via dimensionality reduction, Proc 23rd AAAI Conf Artif Intell, 677

ando, 2005, a framework for learning predictive structures from multiple tasks and unlabeled data, J Mach Learn Res, 6, 1817

10.1103/PhysRevLett.103.214101

10.1109/TNN.2008.2000807

huang, 2007, Advances in Neural Information Processing Systems 19, 601

sugiyama, 2008, Advances in Neural Information Processing Systems 20, 1433

bickel, 2009, Discriminative learning under covariate shift, J Mach Learn Res, 10, 2137

kanamori, 2009, a least-squares approach to direct importance estimation, J Mach Learn Res, 10, 1391

10.1016/j.neunet.2009.07.007

10.1007/978-3-642-00599-2_17

10.1109/TNN.2008.2007961

10.1109/72.914517

10.1109/TNN.2003.810608

10.1162/089976698300017467

ben-david, 2007, Advances in Neural Information Processing Systems 19, 137

10.1109/TKDE.2009.191

10.7551/mitpress/9780262033589.001.0001

daum, 2007, Frustratingly easy domain adaptation, Proc 40th Ann Meeting of the Assoc Comput Linguistics, 256

song, 2008, Advances in Neural Information Processing Systems 20, 1385

10.1109/MIS.2008.4

fang, 2008, indoor location system based on discriminant-adaptive neural network in ieee 802.11 environments, IEEE Trans Neural Netw, 19, 1973, 10.1109/TNN.2008.2005494

10.3115/1610075.1610094

10.1109/ICDM.2008.49

smola, 2007, A Hilbert space embedding for distributions, 10th Int Conf Algorithmic Learning Theory, 13, 10.1007/978-3-540-75225-7_5

10.1137/1.9781611972795.34

gretton, 2005, Measuring statistical dependence with Hilbert-Schmidt norms, 10th Int Conf Algorithmic Learning Theory, 63, 10.1007/11564089_7

gretton, 2007, A kernel method for the two-sample problem, Proc Conf Neural Inf Process Syst, 513

10.1145/1015330.1015345

10.1162/153244302760185252