Results 271 to 280 of about 11,051,876 (314)
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Designs, Codes and Cryptography, 2009
The purpose of this paper is to show some important properties of the value function, and then apply them to linear codes. In fact, the value function was first introduced by \textit{W. Chen} and \textit{T. Kløve} [IEEE Trans. Inf. Theory 42, No. 6, Pt. 2, 2265--2272 (1996; Zbl 0872.94044)], and it was used to construct the generator matrix of a linear
Zihui Liu, Wende Chen
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The purpose of this paper is to show some important properties of the value function, and then apply them to linear codes. In fact, the value function was first introduced by \textit{W. Chen} and \textit{T. Kløve} [IEEE Trans. Inf. Theory 42, No. 6, Pt. 2, 2265--2272 (1996; Zbl 0872.94044)], and it was used to construct the generator matrix of a linear
Zihui Liu, Wende Chen
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Designs, Codes and Cryptography, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zihui Liu, Xin-Wen Wu
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zihui Liu, Xin-Wen Wu
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On Learning Vector-Valued Functions
Neural Computation, 2005In this letter, we provide a study of learning in a Hilbert space of vector-valued functions. We motivate the need for extending learning theory of scalar-valued functions by practical considerations and establish some basic results for learning vector-valued functions that should prove useful in applications.
Charles A. Micchelli +1 more
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Management Science, 1972
Value theory plays an essential role in the formal solution of decision problems, but the experimental determination of value functions is subject to errors of various kinds. Sensitivity analyses are methodologically invalid. An attempt is made to overcome the uncertainties in derivation of value functions, in a manner which is similar to the ...
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Value theory plays an essential role in the formal solution of decision problems, but the experimental determination of value functions is subject to errors of various kinds. Sensitivity analyses are methodologically invalid. An attempt is made to overcome the uncertainties in derivation of value functions, in a manner which is similar to the ...
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On Henstock integrals of interval-valued functions and fuzzy-valued functions
Fuzzy Sets and Systems, 2000Henstock integrals of interval-valued functions and fuzzy-valued functions are defined and discussed. Several necessary and sufficient conditions of integrability are given by means of the Henstock-Pettis integral theory.
Congxin Wu, Zengtai Gong
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On the decomposition of value functions
Operations Research Letters, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2018
Many interesting problems, such as power grids, network switches, and traffic flow, thatare candidates for solving with reinforcementlearning (RL), also have properties that makedistributed solutions desirable. We propose an algorithm for distributed reinforcement learning based on distributing the representation of the value function across nodes ...
Jeff G. Schneider +3 more
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Many interesting problems, such as power grids, network switches, and traffic flow, thatare candidates for solving with reinforcementlearning (RL), also have properties that makedistributed solutions desirable. We propose an algorithm for distributed reinforcement learning based on distributing the representation of the value function across nodes ...
Jeff G. Schneider +3 more
openaire +2 more sources