منابع مشابه
Implementing Gradient Descent Decoding
Many communication channels accept as input binary strings and return output strings of the same length that have been altered in an unpredictable way. To compensate for these “errors”, redundant data is added to messages before they enter the channel. The task of a decoding algorithm is to reconstruct sent message(s) (i.e., to decode) the channel output. There are several critical attributes o...
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In this paper, we consider the performance of the Noisy Gradient Descent Bit Flipping (NGDBF) algorithm under re-decoding of failed frames. NGDBF is a recent algorithm that uses a non-deterministic gradient descent search to decode lowdensity parity check (LDPC) codes. The proposed re-decode procedure obtains improved performance because the perturbations are independent at each re-decoding pha...
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The move from hand-designed features to learned features in machine learning has been wildly successful. In spite of this, optimization algorithms are still designed by hand. In this paper we show how the design of an optimization algorithm can be cast as a learning problem, allowing the algorithm to learn to exploit structure in the problems of interest in an automatic way. Our learned algorit...
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This report describes a series of results using the exponentiated gradient descent (EG) method recently proposed by Kivinen and Warmuth. Prior work is extended by comparing speed of learning on a nonstationary problem and on an extension to backpropagation networks. Most signi cantly, we present an extension of the EG method to temporal-di erence and reinforcement learning. This extension is co...
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ژورنال
عنوان ژورنال: Michigan Mathematical Journal
سال: 2009
ISSN: 0026-2285
DOI: 10.1307/mmj/1242071693