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ICANNGA
2007
Springer
105views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Reinforcement Learning in Fine Time Discretization
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Pawel Wawrzynski
SSIAI
2002
IEEE
14 years 18 days ago
A Wavelet Filter Bank Which Minimizes a Novel Translation Invariant Discrete Uncertainty Measure
We develop a novel measure of joint time-frequency localization applicable to equivalence classes of finite-length discrete signals, which are of increasing importance in modern ...
Peter C. Tay, Joseph P. Havlicek, Victor E. DeBrun...
AAECC
2006
Springer
133views Algorithms» more  AAECC 2006»
13 years 7 months ago
On the low hamming weight discrete logarithm problem for nonadjacent representations
So-called nonadjacent representations are commonly used in elliptic curve cryptography to facilitate computing a scalar multiple of a point on an elliptic curve. A nonadjacent rep...
James A. Muir, Douglas R. Stinson
MCS
2007
Springer
13 years 7 months ago
Continuous and discrete homotopy operators: A theoretical approach made concrete
Using standard calculus, explicit formulas for the one-dimensional continuous and discrete homotopy operators are derived. It is shown that these formulas are equivalent to those ...
W. Hereman, Bernard Deconinck, L. D. Poole
ICPR
2008
IEEE
14 years 2 months ago
Optimal feature weighting for the discrete HMM
We propose a modified discrete HMM that includes a feature weighting discrimination component. We assume that the feature space is partitioned into subspaces and that the relevan...
Oualid Missaoui, Hichem Frigui