Comparison of CSSR with context-based algorithms
Evaluation of CSSR with Direct TCH Assignment in Cellular Networks
... the comparison of numerical results and simulated results, it was shown that the method could be used for evaluating GPRS performance when the average service time of circuit switched services is much longer than ...
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Comparison of Clustering Algorithms Based on Outliers
... (Density Based Spatial Clustering of Applications with Noise) is a pioneer density based ...DBSCAN algorithms that were proposed so ...clustering, based ideas in dealing with big ...clustering ...
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Comparison of multi-modal optimization algorithms based on evolutionary algorithms
... 2.5 Sharing Goldberg and Richardson’s [6] fitness sharing algorithm was one of the first attempt to deal directly with the location and preservation of multiple solution in a GAs. The fitness sharing algorithm took a cue ...
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A comparison of the utility of data mining algorithms in an open distance learning context
... Data acquisition The data was obtained from the institutional databases and included the socio-demographic information, registration details, high school learning achievements and university academic results of the ...
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Context based clearing procedure: A niching method for genetic algorithms
... Multimodal optimization; Niching methods; Niching problem Abstract In this paper we present CBC (context based clearing), a procedure for solving the nich- ing problem. CBC is a clearing technique governed ...
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Accuracy based Comparison of Three Brain Extraction Algorithms
... a comparison of three brain extraction algorithms is done, namely Brain Surface Extractor (BSE), skull stripping algorithm using Geodesic Active Contour (GAC), and skull stripping using active contours ...
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Comparison of different integral histogram based tracking algorithms
... In [18], an accurate tracker is proposed using updated model of shape and appearance of the target, as the tracker progresses in the video. In this algorithm, the constantly changing foreground shape is modeled as a ...
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A Comparison of some Negotiation Algorithms using a Tournament Based Approach
... Some algorithms never reach agreement, even though doing so entails such a severe ...the algorithms do not know how many rounds of negotiation they are ...
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Comparison of 2 D Algorithms in ElT based Image Reconstruction
... The non conducting impurity used for experiments is clay cylinder of 18 mm diameter and 57 mm height. It is placed near electrodes 4 and 5 inside the plastic phantom containing saline solution. First aim is to create ...
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On Constant Factors in Comparison-Based Geometric Algorithms and Data Structures
... with algorithms by Megiddo and Dyer using O (n) time [27, ...These algorithms use predicates that are neither coordinate comparisons nor sidedness ...
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Performance Comparison of Total Variation based Image Regularization Algorithms
... Variational models have been sucessfully used for image denoising and remains an active area of research. In variational method it is required to define cost or energy functional which characterizes the image structure ...
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A Comparison Analysis of BLE-Based Algorithms for Localization in Industrial Environments
... localization algorithms based either on trilateration or environment fingerprinting combined with a machine-learning based regressor (k-nearest neighbors, support-vector machines, or multi-layer ...
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Clusterers: a comparison of partitioning and density-based algorithms and a discussion of optimisations
... Figure 11: Density-based performance by result- ing noise from change in minPoints being classified as noise increases also. The results demonstrate that all techniques - with the ex- ception of OPTICS which ...
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A Comparison of Knowledge based Algorithms for Graded Word Sense Assignment
... annotators use the scale and to what extent the (correlation) analysis of systems using the WSsim-2 data set is meaningful, we created the plot shown in Figure 2. In the lemma-sentence task, two annotators define the ...
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Empirical Comparison of Machine Learning Algorithms Based on EEG data
... learning algorithms to im- prove the overall ...learning algorithms are combined into a weighted sum that represents the final output of the boosted ...learning algorithms to the overfitting problem, ...
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Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking
... When both f and h are linear functions, the problem at hand is a linear problem otherwise it is a nonlinear one. For a linear problem that has prior, process noise, and measurement noise being Gaussian, the problem is ...
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Cloud Computing Load Balancing Algorithms Comparison Based Survey
... projected comparison of static and dynamic load equalisation algorithmic program for cloud ...equalisation algorithms, which may be applied to clouds ...equalisation algorithms. Cloud Analyst: A ...
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Comparison between Clustering Algorithms Based On Ontology Based Text Mining Techniques
... Madurai-625 002, India 2 Abstract: Large number of documents is grouped according to their similarities. The Text Mining methods have been proposed to solve the problem by automatically classifying text documents, mainly ...
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Comparison of fuzzy integral fuzzy measure based ensemble algorithms with the state of the art ensemble algorithms
... combinations. Based on the expected potential of non-linear aggregation offered by the FI, its ap- plication to decision-level fusion in ensemble classifiers, ...kernel based classifiers through the use of ...
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A Comparison of Word based and Context based Representations for Classification Problems in Health Informatics
... that context-based rep- resentations are a better choice than word-based representations to create tweet vectors for clas- sification problems in health ...with context- based ...
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