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BMCBI
2006
207views more  BMCBI 2006»
15 years 19 days ago
A new measure for functional similarity of gene products based on Gene Ontology
Background: Gene Ontology (GO) is a standard vocabulary of functional terms and allows for coherent annotation of gene products. These annotations provide a basis for new methods ...
Andreas Schlicker, Francisco S. Domingues, Jö...
119
Voted
LATA
2009
Springer
15 years 7 months ago
Hypothesis Spaces for Learning
In this paper we survey some results in inductive inference showing how learnability of a class of languages may depend on hypothesis space chosen. We also discuss results which co...
Sanjay Jain
89
Voted
IJCAI
1997
15 years 1 months ago
Is Nonparametric Learning Practical in Very High Dimensional Spaces?
Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
Gregory Z. Grudic, Peter D. Lawrence
94
Voted
ML
2002
ACM
100views Machine Learning» more  ML 2002»
15 years 7 days ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
105
Voted
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 6 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...