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» On the Complexity of Function Learning
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ECAI
2004
Springer
15 years 4 months ago
Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...
Dragan Gamberger, Nada Lavrac
MICCAI
2009
Springer
16 years 1 months ago
Task-Optimal Registration Cost Functions
Abstract. In this paper, we propose a framework for learning the parameters of registration cost functions ? such as the tradeoff between the regularization and image similiarity t...
B. T. Thomas Yeo, Mert R. Sabuncu, Polina Gollan...
EEMMAS
2007
Springer
15 years 7 months ago
Engineering Systems Which Generate Emergent Functionalities
Complexity of near future and even nowadays applications is exponentially increasing. In order to tackle the design of such complex systems, being able to engineer self-organising ...
Marie Pierre Gleizes, Valérie Camps, Jean-P...
ICML
2006
IEEE
16 years 1 months ago
Efficient MAP approximation for dense energy functions
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...
Marius Leordeanu, Martial Hebert
96
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ICRA
2008
IEEE
119views Robotics» more  ICRA 2008»
15 years 7 months ago
Maximum likelihood estimation of sensor and action model functions on a mobile robot
— In order for a mobile robot to accurately interpret its sensations and predict the effects of its actions, it must have accurate models of its sensors and actuators. These mode...
Daniel Stronger, Peter Stone