Improvement algorithms and models
Algorithms and Models For Combinatorial Optimization Problems
... The algorithms can be divided into three classes: the decomposition algorithms, the construction algorithms and the solution improvement ...The algorithms of the first two classes ...
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Data Analysis: Models and Algorithms
... G Modifying feature values G Modifying feature sets G De-coupling compound decisions These actions aim at improvement of the generalization capability of the rules extracted in the learning phase of data mining. ...
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Improvement of the Equivalent Circuit Method for Analysis of Frequency Selective Surfaces Using Genetic Algorithms and Rational Algebraic Models
... 6. CONCLUSIONS In this paper, we present a proposal to improve the equivalent circuit method by using a combination of commercial software with rational algebraic models and genetic algorithms. The ...
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Models and Algorithms for Transportation in the Sharing Economy
... Seasonality and Frequency of Reallocations. In contrast to bike rebalancing, the reallocation of docks (cf. Chapter 4) is a strategic question that involves docks being moved at most on an annual level. As such, one ...
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Personalized Expert Recommendation: Models and Algorithms
... Predicting user’s geo profile. We also show performance comparison in Figure 6.5. Sim- ilarly with user topical profile prediction, three dimensional methods generally outperform BPF, and bUHF-2 performs better than ...
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MODELS AND ALGORITHMS FOR WORKFORCE ALLOCATION AND UTILIZATION
... significant improvement in performance to be gained by solving each workforce utilization feasibility problem individually and disaggregating the problem across presslines, as we see in the changes in run time in ...
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A Comparison and Improvement of Online Learning Algorithms for Sequence Labeling
... labeling models like conditional random fields have been successfully applied in a variety of NLP ...batch algorithms like L-BFGS quickly becomes computationally ...learning algorithms for sequence ...
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Improvement of Distributed Computing Performance with Fault Tolerant Algorithms
... The techniques must be capable of handling frequent and multiple faults at the run time and also adaptive to different run time conditions. Adaptive programming model can be used to develop such techniques [5]. There is ...
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Models and algorithms for multi-agent search problems
... tour improvement step. The algorithm was fastest among all the algorithms con- sidered, and achieved over 92% of the value that our algorithm collected for different ...
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Models and algorithms for the capacitated location-routing problem
... positive improvement are kept in memory at any iteration. When finished inspecting all the merging possibilities, a move is randomly taken and performed among those saved. They call this algorithm randomized ECWSA ...
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Models and Algorithms for the Cyclic Inventory Routing Problem
... an improvement heuristic is also presented that tries to improve an existing solution by removing customers from the solution and then re-inserting them in another ...
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Models and algorithms for solving packing problems in logistics
... 3.7.2 Improvement phase A solution built by the constructive algorithm consists of a list of blocks packed and another list of boxes which have been left ...
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Improvement of the Classification Algorithms of
... exercise movement estimation. It was performed by using four different algorithms.. 1); which 89.. may be described by three-dimensional coordinates (i.e. by using X, Y and Z planes of [r] ...
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EmbeddedSoftwareinNetworkProcessors- Models and Algorithms
... The objective of our scheduling algorithm is multi-fold: i to guarantee that all real-time packets meet their associated deadlines, ii that the non-real-time packets experience the minim[r] ...
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Algorithms and Models for Genome Biology
... variable models are one of the cornerstones of machine ...Such models are useful for exploratory analysis and visualization, for building density models of data, and for providing features that can ...
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Decomposition Models of Parallel Algorithms
... To cite this article: Michal Hanuliak, Juraj Hanuliak. Decomposition Models of Parallel Algorithms. American Journal of Networks and Communications. Special Issue: Parallel Computer and Parallel ...
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Distributed Algorithms for Topic Models
... distributed algorithms for two widely-used topic models, namely the Latent Dirichlet Allocation (LDA) model, and the Hierarchical Dirichet Process (HDP) ...distributed algorithms the data is ...
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Models and Algorithms for Comparative Genomics
... exact algorithms and heuristics have been proposed for these edit distance problems in the presence of duplicate ...heuristic algorithms are given ...
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Timetable Information: Models and Algorithms
... the models for the solution of realistic versions of optimization problems in the single- criterion case, the performance of the two approaches is almost ...
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Demand-Responsive Transport: Models and Algorithms
... The main idea in the adaptive insertion algorithm is to construct the optimal route iteratively by implementing an insertion algorithm for each customer, one by one for all feasible sequ[r] ...
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