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ALT
2003
Springer
15 years 8 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 6 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
IJCSA
2008
96views more  IJCSA 2008»
15 years 4 months ago
Integration of Educational Specifications and Standards to Support Adaptive Learning Scenarios in ADAPTAPlan
ADAPTAPlan project provides dynamic assistance for reducing authors' effort in developing instructional design tasks using user modelling, planning and machine learning techn...
Silvia Baldiris, Olga C. Santos, Carmen Barrera, J...
CSCWD
2009
Springer
15 years 9 months ago
A Collaborative Learning Activity and a software tool for improving language skills
It seems that actual software tools utilizing Computer-Mediated Communication mechanisms -like messaging or chat systems- do not help young students to learn good grammar skills. ...
Luis A. Guerrero
161
Voted
SLSFS
2005
Springer
15 years 10 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum