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» On the decomposition of rational functions
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ICPR
2000
IEEE
14 years 9 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
14 years 10 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
14 years 9 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»
14 years 1 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
14 years 3 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&...