Convergence rate
Convergence rate for the moving least squares learning with dependent sampling
... Our goal is to obtain the convergence rate as m → ∞ of algorithm (1.1) under hypothesis (1.7). The rest of the paper is organized as follows. In Sect. 2, we review some concepts and state our main results ...
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Study on Stability Convergence Rate of Chemostat Model of a Kind of Organism
... the convergence rate of the stability of the chemostat model of a class of organisms with time delay, that is, the stability and - stability of the model, and the differences and relations between the two ...
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Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations
... a convergence in probability of the algorithm has been provided by Hajek ...of convergence using modern semi-group representation of Markov processes has been obtained by Holley and Stroock ...the ...
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Convergence Rate Improvement and Interference Reduction in Smart Antenna System
... ABSTRACT: The adaptive beamforming algorithms are used for producing a maximum narrow beam in the desired direction and at the same time nulls in other directions. This paper mainly focuses on the existing adaptive ...
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Sharp uniform convergence rate of the supercell approximation of a crystalline defect
... uniform convergence rate to obtain sharp convergence error estimates on the vibrational en- tropy of a point defect, as well as [BHO] where our new results significantly simplify the development of a ...
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On weak and strong convergence rate for the Heston stochastic volatility model
... weak convergence rate of the stochastic trapezoidal rule is two, for the full parameter regime, provided the variance process is exactly ...This rate is consistent with the standard rate of ...
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From graph to manifold Laplacian: The convergence rate
... The convergence of the discrete graph Laplacian to the continuous manifold Laplacian in the limit of sample size N → ∞ while the kernel bandwidth ε → 0, is the justification for the success of Laplacian based ...
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Convergence rate of extremes from Maxwell sample
... the convergence rate of extremes from Maxwell sample have been widely used in the field of ...uniform convergence rate of its distribution to the extreme value distribution and give an improved ...
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Convergence rate of numerical solutions to SFDEs with jumps
... strong convergence of the numerical solutions to SFDEs without jumps, and convergence rate was revealed under a global Lipschitz ...the convergence rate for the numerical solutions to ...
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A Proposed SM-IMSAF Algorithm with Fast Convergence Rate
... , but yields a higher steady misadjustment . Comparing with (0.3) , (0.1) , the SM-IMSAF algorithm with (1) has a similar convergence rate and a lower steady misadjustment. Fig. 3 demonstrates that ...
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The Convergence Rate for a Functional in Learning Theory
... It is known that in the field of learning theory based on reproducing kernel Hilbert spaces the upper bounds estimate for a K-functional is needed. In the present paper, the upper bounds for the K-functional on the unit ...
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On the Convergence Rate of lp-Norm Multiple Kernel Learning
... Clearly, the complexity of the class (1) will be greater than one that is based on a single kernel only. However, it is unclear whether the increase is decent or considerably high and—since there is a free parameter ...
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Convergence Rate of Implicit Iteration Process and a Data Dependence Result
... its convergence in the framework of W-hyperbolic ...higher rate of convergence than implicit Mann type iteration and implicit Ishikawa- type iteration ...
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A supplement to the convergence rate in a theorem of Heyde
... There are various extensions of this result: Chen [], Gut and Spˇatara [], Lanzinger and Stadtmüller []. Liu and Lin [] introduced a new kind of complete moment convergence; Klesov [] studied the rate ...
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On the Convergence Rate of the Law of Large Numbers for Sums of Dependent Random Variables
... In this paper, we generalize some results of Chandra and Goswami [4] for pairwise negatively dependent random variables (henceforth r.v.’s). Furthermore, we give Baum and Katz’s [1] type results on estimate for the ...
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Rate of convergence in the weak invariance principle for deterministic systems
... Remark 1.1 (a) The closest previous result that we could find for dynamical systems is due to Grama et al. [23]. Their method, is based on a result of Gou¨ ezel [22] which applies to dynamical systems with spectral gaps, ...
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The Rate of Convergence of AdaBoost
... in log N, m, B and 1/ε. (We require log N rather than N since the number of weak hypotheses will typically be extremely large.) Along with an upper bound that is polynomial in these parameters, we also provide lower ...
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Strong convergence theorem of a new iterative method for weak contractions and comparison of the rate of convergence in Banach space
... strong convergence theorem of the proposed method under some control ...the rate of convergence between the Noor iteration and our ...strong convergence; rate of convergence; ...
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On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
... the convergence rate of the expected i-th nearest neighbor squared distance in terms of the metric covering radii of the support of the distribution µ of ...the rate of convergence of the ...
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Strong convergence theorems and rate of convergence of multi-step iterative methods for continuous mappings on an arbitrary interval
... convergence of the proposed iterative methods for continuous mappings on an arbitrary interval is given. We also compare the rate of convergence of those iterations. It is proved that the W ( T , N ) ...
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