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» On the decomposition of rational functions
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ICPR
2000
IEEE
15 years 10 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
CVPR
1996
IEEE
15 years 11 months ago
Canonical Decomposition of Steerable Functions
This paper presents a general formulation enabling determination of all functions that are steerable under any transformation group. These steerable functions are determinedunique...
Yacov Hel-Or, Patrick C. Teo
ICML
2007
IEEE
15 years 10 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
ICRA
2000
IEEE
99views Robotics» more  ICRA 2000»
15 years 2 months ago
Exact Cellular Decompositions in Terms of Critical Points of Morse Functions
Exact cellular decompositions are structures that globally encode the topology of a robot's free space, while locally describing the free space's geometry. These structu...
Howie Choset, Ercan U. Acar, Alfred A. Rizzi, Jona...
SOCO
2009
Springer
15 years 4 months ago
Feature (De)composition in Functional Programming
Abstract. The separation of concerns is a fundamental principle in software engineering. Crosscutting concerns are concerns that do not align with hierarchical and block decomposit...
Sven Apel, Christian Kästner, Armin Grö&...