The purpose of this study is to present results of forecast of ranges for yen to US dollar exchange rate fluctuation in order to evaluate the performance of two algorithms: the original backpropagation (OBP), w
Spike detection for raw high-frequency eddy covariance time series is a challenging task because of the confounding effect caused by complex dynamics and the high level of noise affecting such data. To cope with these features, a new despiking procedure
Evaluation of the performance of classification algorithms. 2Materials and method 2.1Study area Chikamagaluru district, which covers an area of 7101 sq. km (3.8% of Karnataka), is in the southwestern part of Karnataka between 12 °54′ 42″ and 13° 53′ 53″ N and 75° 04′ 46″ and...
Performance Evaluationis a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire field of performance evaluation. The journal audience encompasses … ...
Performance Evaluationis a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire field of performance evaluation. The journal audience encompasses … ...
Image segmentation is a very important step in image analysis, and performance evaluation of segmentation algorithms plays a key role both in developing efficient algorithms and in selecting suitable methods for the given tasks. Although a number of publications have appeared on segmentation methodology ...
We proposed a two-section CR developed dynamic model using Eular-Lagrange representation founded on the assumption of the PCC, which accounts for its elasticity and gravity effect solved using a MATLAB symbolic toolbox. We Proposed two different control algorithms, inverse dynamic PID and inverse dyn...
accurate evaluation results for arbitrary region shapes. We present the results of evaluating widely used segmentation algorithms (x-y cut, smearing, whitespace analysis, constrained text-line finding, docstrum, and Voronoi) on the UW-III database and demonstrate that the new evaluation scheme ...
Algorithm Performance refers to the evaluation of machine learning algorithms in terms of their effectiveness compared to other algorithms. It involves performance measures, statistical testing, sampling techniques, and error estimation to assess how well an algorithm performs in different scenarios. ...
总结:说实在的,整的太复杂了,根本不会有人用的。就这个计算量,别说train模型的时间了,就是evaluation都要花很久,又是在环境里跑一大堆episode,又是算α-Rank的,要是算法再一多,时间指数级增加。再加上这个方法虽然看起来make sense,但是其实并不好理解他的优势在哪。