Optimization Weights for One Set of Forecasts
Set Top Boxes: Market Shares, Strategies, And Forecasts, Worldwide, Upto 2018
... study Set Top Boxes: Market Shares, Strategy, and Forecasts, Worldwide, 2012 to ...Worldwide set top box markets are poised to achieve significant growth as the next generation TV Internet systems ...
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Does implied volatility reflect a wider information set than econometric forecasts?
... IV forecasts and MBF subsume the chosen set of non-return ...the forecasts themselves are related to the non-return ...IV forecasts beyond its impact on current levels of volatility, and hence ...
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Set-top Boxes: Analysis and Forecasts
... of Set-top Media Servers As competition among television service providers increases, the role of the set-top box as a receiver, aggregator, storage device, and sharing platform will grow ...of set- ...
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Prospect Theory Based Portfolio Optimization Problem with Imprecise Forecasts
... Table 4 reports the results for the experiments associated to the pt model. The ‘obj value’ row lists the rates of return reached by the opti- mal solutions and the remaining rows show the corresponding portfolio ...
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Forecasts covering one month using a cut-cell model
... for forecasts cover- ing five days and climate ...a set of five-day forecasts, covering January 1989 with six ...model forecasts than the terrain-following coordinate used for ...for ...
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Approximation by neural networks with weights varying on a finite set of directions
... the set M ( σ ) also holds for some reasonable sets of weights and thresholds (see ...restricted set of weights can also have the ...bounded set of weights has the ...only ...
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FEATURE RANKING BASED ON WEIGHTS ESTIMATED BY MULTIOBJECTIVE OPTIMIZATION
... only one set of features, this means that the local rankings are not compatible and suggests that there are statistical differences between data ...initialized weights), we obtained a first ...
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Improved Whale Optimization Algorithm Based on Inertia Weights for Solving Global Optimization Problems
... F1-F7 are unimodal functions because there is only one global optimum solution. These functions usually utilized to evaluate the exploitation ability of meta-heuristic algorithms [8]. As seen from Table 1 and ...
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Optimization problems for set functions
... 2000 Mathematics Subject Classification. 90C48. 1. Introduction. This paper concentrates on the analysis of certain class of opti- mization problems, namely the problems of finding conditional extrema of set func- ...
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Ranking Two-Stage Process Using a Common Set of Weights in DEA
... fering weights for the same factors of two-stage processes may not acceptable in the performance evaluation of two-stage processes, for instance, the general manager of a chain store or bank de- sires to measure ...
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Possibilistic bottleneck combinatorial optimization problems with ill-known weights
... be partially inadequate because each problem may take place in a specific environment, and is not the exact replica of the past ones. A simple approach for handling uncertain parameters is modeling the uncertainty in the ...
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Deriving Common Set of Weights in the Presence of the Undesirable Inputs: A DEA based Approach
... a set of weights such that the efficiency of a target DMU relative to the other DMUs is ...output weights often causes more than one DMU being evaluated as efficient, leading to them being ...
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DEA with common set of weights based on a multi objective fractional programming problem
... multiple outputs. Original DEA models were formulated by Charnes, Cooper, and Rhodes [1] and DEA models have become one of the main modeling tools for efficiency analysis since 1980’s. In fact, DEA is a ...
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Accuracy enhancement of biometric recognition using iterative weights optimization algorithm
... 54, one for the approximate coefficients and the other for horizontal coefficients for each of the image, are stored in the data- ...the weights of the approximate and horizontal coefficients to create a ...
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Optimization and visualization of the edge weights in optimal assignment methods for virtual screening
... optimized weights of the InhA ...a set, which omits the 15 ligands without a carbonyl group, results in a weighting scheme that assigns a con- siderable weight to the carbonyl as shown in Figure ...
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Blending Sentence Optimization Weights of Unsupervised Approaches for Extractive Speech Summarization
... global optimization framework using Equation ...sentence weights do not seem to be suitable in a global model because sentences of very different length can have similar ...two one-word sentences ...
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A nonlinear model for common weights set identification in network Data Envelopment Analysis
... unequal weights of the criteria when decision- making units are evaluated. One of the strategies applied to deal with these problems is using common weights of the each input/output in all decision ...
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Abstract: In multi-objective optimization problems, the optimization target is to obtain a set of
... This paper has described the DOA unary quality indicator that could be very useful in assessing the performance of an MOOA by estimating the match between the approximation front found by the MOOA and the optimal ...
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Reducing Asset Weights' Volatility by Importance Sampling in Stochastic Credit Portfolio Optimization
... portfolio optimization. RiscMetrics’ CreditManager as one of the markets’ dominating credit portfolio models readily provides an implemented importance sampling ...stochastic optimization with ...
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Properties of solutions of optimization problems for set functions
... The general case is much more complicated, because the domain of set functions usually does not have a linear, closed or convex structure. In this situation, the num- ber of solving procedures (such as gradient ...
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