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ICANN
2009
Springer
15 years 9 months ago
Learning from Examples to Generalize over Pose and Illumination
We present a neural system that recognizes faces under strong variations in pose and illumination. The generalization is learnt completely on the basis of examples of a subset of p...
Marco K. Müller, Rolf P. Würtz
EDM
2010
121views Data Mining» more  EDM 2010»
15 years 3 months ago
Identifying Students' Inquiry Planning Using Machine Learning
This research investigates the detection of student meta-cognitive planning processes in real-time using log tracing techniques. We use fine and coarse-grained data distillation, i...
Orlando Montalvo, Ryan Shaun Joazeiro de Baker, Mi...
AIED
2009
Springer
15 years 2 months ago
Exploiting Partial Problem Spaces Learned from Users' Interactions to Provide Key Tutoring Services in Procedural and Ill-Define
In previous works, we showed how sequential pattern mining can be used to extract a partial problem space from logged user interactions for a procedural and ill-defined domain wher...
Philippe Fournier-Viger, Roger Nkambou, Engelbert ...
IUI
2011
ACM
14 years 7 months ago
Continuous marking menus for learning cursive pen-based gestures
In this paper, we present a new type of Marking menus. Continuous Marking Menus are specifically dedicated to penbased interfaces, and designed to define a set of cursive, reali...
Adrien Delaye, Rafik Sekkal, Éric Anquetil
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 10 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett