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TNN
2011
200views more  TNN 2011»
15 years 1 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
CSDA
2010
87views more  CSDA 2010»
15 years 6 months ago
Semiparametric indirect utility and consumer demand
In this paper, we specify the indirect utility function as a partially linear model, where utility is nonparametric in expenditure and parametric (with fixed- or varying-coefficie...
Krishna Pendakur, Michael Scholz, Stefan Sperlich
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 8 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
ICALT
2007
IEEE
16 years 28 days ago
Towards a Unified Learning Style Model in Adaptive Educational Systems
Accommodating learning styles in adaptive educational systems represents an important step towards providing individualized instruction. The paper summarizes the main results repo...
Elvira Popescu, Philippe Trigano, Costin Badica
CVPR
2009
IEEE
17 years 1 months ago
Efficient Kernels for Identifying Unbounded-Order Spatial Features
Higher order spatial features, such as doublets or triplets have been used to incorporate spatial information into the bag-of-local-features model. Due to computational limits, ...
Yimeng Zhang (Carnegie Mellon University), Tsuhan ...