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» Dimensions of machine learning in design
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ICML
2007
IEEE
14 years 10 months ago
A fast linear separability test by projection of positive points on subspaces
A geometric and non parametric procedure for testing if two nite set of points are linearly separable is proposed. The Linear Separability Test is equivalent to a test that deter...
A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal
DAGSTUHL
2007
13 years 10 months ago
Interdisciplinary Design Research for End-User Software Engineering
rocesses involve modeling – simplifying or abstracting some aspects of the problem domain in order to plan and evaluate design decisions. The use of representations to reason abo...
Alan F. Blackwell
ECTEL
2008
Springer
13 years 11 months ago
Bridging the Gap between Practitioners and E-Learning Standards: A Domain-Specific Modeling Approach
Developing a learning design using IMS Learning Design (LD) is difficult for average practitioners because a high overhead of pedagogical knowledge and technical knowledge is requi...
Yongwu Miao, Tim Sodhi, Francis Brouns, Peter B. S...
ICML
2009
IEEE
14 years 10 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
ECML
2006
Springer
14 years 26 days ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten