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DAGSTUHL
2007
13 years 11 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
IJNS
2007
133views more  IJNS 2007»
13 years 10 months ago
Online Learning of Objects in a Biologically Motivated Visual Architecture
We present a biologically motivated architecture for object recognition that is capable of online learning of several objects based on interaction with a human teacher. The system...
Heiko Wersing, Stephan Kirstein, Michael Gött...
IVC
2006
187views more  IVC 2006»
13 years 10 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
EMO
2009
Springer
159views Optimization» more  EMO 2009»
14 years 4 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
DIGITEL
2008
IEEE
14 years 4 months ago
Learning about Complexity with Modular Robots
We present progress with roBlocks, a reconfigurable modular robotic system for education. Children snap together small, magnetic, heterogeneous modules to create larger, more comp...
Eric Schweikardt, Mark D. Gross