Results 1 to 10 of about 8,591 (298)
Greedy Algorithms for Optimal Distribution Approximation [PDF]
The approximation of a discrete probability distribution t by an M-type distribution p is considered. The approximation error is measured by the informational divergence D ( t ∥ p ) , which is an appropriate measure, e.g., in the ...
Bernhard C. Geiger, Georg Böcherer
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Simultaneous greedy approximation in Banach spaces
The notion of the weak greedy algorithms (WGA) in the case of Hilbert space \(H\) was introduced and studied by the second author [Adv. Comp. Math. 12, 213--227 (2000; Zbl 0964.65009)]. This algorithm is provided for each \(f\in H\) and any dictionary \(\mathcal{D} \) by the sums \(G_m(f,\mathcal{D})\) \(=\sum _{j=1}^mc_j\varphi _j(f),\) where \(m\in N
V N Temlyakov
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Approximation Ratios of RePair, LongestMatch and Greedy on Unary Strings
A grammar-based compressor is an algorithm that receives a word and outputs a context-free grammar that only produces this word. The approximation ratio for a single input word is the size of the grammar produced for this word divided by the size of a ...
Danny Hucke, Carl Philipp Reh
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Simultaneous approximation by greedy algorithms [PDF]
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V N Temlyakov +2 more
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Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms
We propose the Weak Rescaled Pure Super Greedy Algorithm (WRPSGA) for approximation with respect to a dictionary D in Hilbert space. The WRPSGA is simpler than some popular greedy algorithms.
Wenhui Zhang +3 more
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On approximation spaces and Greedy-type bases
The purpose of this paper is to introduce $ω$-Chebyshev-greedy and $ω$-partially greedy approximation classes and to study their relation with $ω$-approximation spaces, where the latter are a generalization of the classical approximation spaces. The relation gives us sufficient conditions of when certain continuous embeddings imply different greedy ...
Pablo M Berna +2 more
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Simultaneous optimized orthogonal matching pursuit with application to ECG compression. [PDF]
A greedy pursuit strategy which finds a common basis for approximating a set of similar signals is proposed. The strategy extends the Optimized Orthogonal Matching Pursuit approach to selecting the subspace containing the approximation of all the signals
Laura Rebollo-Neira
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On the convergence of the order-preserving weak greedy algorithm for subspaces generated by the Szego kernel in the Hardy space [PDF]
In this article we consider representing properties of subspaces generated by the Szego kernel. We examine under which conditions on the sequence of points of the unit disk the order-preserving weak greedy algorithm for appropriate subspaces generated by
Speransky, Konstantin Sergeevich
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On the Rate of Convergence of Greedy Algorithms
In this paper, a new criterion for the evaluation of the theoretical efficiency of a greedy algorithm is suggested. Using this criterion, we prove some results on the rate of convergence of greedy algorithms, which provide expansions.
Vladimir Temlyakov
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Approximate Weak Greedy Algorithms [PDF]
We present a generalization of V. Temlyakov's weak greedy algorithm, and give a sufficient condition for norm convergence of the algorithm for an arbitrary dictionary in a Hilbert space. We provide two counter-examples to show that the condition cannot be relaxed for general dictionaries.
Rémi Gribonval, Morten Nielsen 0002
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