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ECCV
2008
Springer
15 years 2 months ago
Estimating Radiometric Response Functions from Image Noise Variance
We propose a method for estimating radiometric response functions from observation of image noise variance, not profile of its distribution. The relationship between radiance inten...
Jun Takamatsu, Yasuyuki Matsushita, Katsushi Ikeuc...
ICMLA
2008
15 years 2 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux
99
Voted
ICALP
2010
Springer
15 years 24 days ago
What Is a Pure Functional?
Abstract. Given an ML function f : (int->int)->int how can we rigorously specify that f is pure, i.e., produces no side-effects other than those arising from calling its func...
Martin Hofmann, Aleksandr Karbyshev, Helmut Seidl
91
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ICASSP
2011
IEEE
14 years 4 months ago
Fixed point iteration for max-min sir balancing with general interference functions
This paper studies the convergence of a fixed point iteration algorithm for the problem of max-min signal-to-interference ratio (SIR) balancing. Differently from the existing wor...
Nikola Vucic, Martin Schubert
ICML
2007
IEEE
16 years 1 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