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» On the Complexity of Function Learning
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ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
15 years 11 months ago
Learning 3-D object orientation from images
— We propose a learning algorithm for estimating the 3-D orientation of objects. Orientation learning is a difficult problem because the space of orientations is non-Euclidean, ...
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng
MTSR
2007
Springer
15 years 10 months ago
Metadata Application Profile for Agricultural Learning Resources
Capacity and institution building is a core function of the Food and Agricultural Organization of the United Nations (FAO). FAO has recently started the “Capacity and Institution...
Hilke Stuempel, Gauri Salokhe, Anne Aubert, Johann...
145
Voted
GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
15 years 10 months ago
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
118
Voted
NIPS
2004
15 years 6 months ago
Non-Local Manifold Tangent Learning
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
Yoshua Bengio, Martin Monperrus
ATAL
2006
Springer
15 years 8 months ago
The communication complexity of coalition formation among autonomous agents
It is self-evident that in numerous Multiagent settings, selfish agents stand to benefit from cooperating by forming coalitions. Nevertheless, negotiating a stable distribution of...
Ariel D. Procaccia, Jeffrey S. Rosenschein