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108
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ALT
2006
Springer
15 years 11 months ago
Unsupervised Slow Subspace-Learning from Stationary Processes
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
Andreas Maurer
111
Voted
LEGE
2004
169views Education» more  LEGE 2004»
15 years 4 months ago
Building Assessment Web Service from Question Type Learning Objects
In this paper we discuss the TestTool system as an established testing system model, the one that is being used in real educational settings and supports self-assessment as well as...
Vytautas Reklaitis, Kazys Baniulis, Nerijus Auksta...
IJCAI
2007
15 years 4 months ago
Representations for Action Selection Learning from Real-Time Observation of Task Experts
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...
Mark A. Wood, Joanna Bryson
134
Voted
IROS
2007
IEEE
110views Robotics» more  IROS 2007»
15 years 9 months ago
From primitive behaviors to goal-directed behavior using affordances
— In this paper, we studied how a mobile robot equipped with a 3D laser scanner can start from primitive behaviors and learn to use them to achieve goal-directed behaviors. For t...
Mehmet Remzi Dogar, Maya Cakmak, Emre Ugur, Erol S...
112
Voted
CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 2 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...