A. V. Sil’nichenko, “Rate of Convergence of Greedy Algorithms,” Mat. Zametki 76 (4), 628–632 (2004) [Math. Notes 76 , 582–586 (2004)]. MathSciNetA. V. Sil’nichenko, “On the rate of convergence of greedy algorithms,” Mat. Zametki 76 (4), 628–632 (2004) [Math. ...
convergence rateChebyshev Greedy Algorithm is a generalization of the well known Orthogonal Matching Pursuit defined in a Hilbert space to the case of Banach... V Temlyakov - Conference on Signals 被引量: 6发表: 2015年 Biorthogonal greedy algorithms in convex optimization The study of greedy appr...
The paper gives a systematic study of the approximate versions of three greedy-type algorithms that are widely used in convex optimization. By approximate version we mean the one where some of evaluations are made with an error. Importance of such versio
A kernel-based greedy algorithm is presented to realize efficient sparse learning with data-dependent basis functions. Upper bound of generalization error is obtained based on complexity measure of hypothesis space with covering numbers. A careful analysis shows the error has a satisfactory decay rate ...
We study the convergence rate of the famous Symmetric Rank-1 (SR1) algorithm, which has wide applications in different scenarios. Although it has been exte
game linear Nash equilibrium performance costs multiple traffic types Markov jump process convergence analysis bottleneck queue greedy decentralised algorithms/ B6150J Queueing systems B0240C Queueing theory B0240E Game theory B6150M Protocols B0240Z Other topics in statistics B6150C Communication switching...
Optimal data partitioning was selected using a greedy search heuristic under the Schwarz criterion [62] with unlinked branches in PartitionFinder v1.1 [63]. To assess the strength of support for the models identified for each partition by PartitionFinder (Partition 1: codon positions 1+2; Partition...
other benchmark algorithms, the proposed algorithm improves the sum computation rate while meeting the latency and energy consumption requirements, and it outperforms the approach in which a single agent handles both offloading decisions and resource block assignments due to faster convergence performance....
Then, based on a previous strategy by ourselves (summarized and extended in Section 4.1.1) we derive several new user association algorithms that perform load balancing (based on user connections to BSs) among the different network tiers and that consider explicitly the battery status of the BSs...
autocorrelation (CA) function. In this work, we take advantage of the inherent sparsity of the cyclic spectrum in order to estimate CA from a low number of linear measurements and enable blind cyclostationary spectrum sensing. Particularly, we propose two compressive spectrum sensing algorithms that ...