A Normalized Measure for the Protocol Complexity
MCMC for normalized random measure mixture models
... with normalized random measure ...of normalized random measures, we propose novel Markov chain Monte Carlo methods of both marginal type and conditional ...ing normalized generalized Gamma ...
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NEURAL PERSISTENCE: A COMPLEXITY MEASURE
... each measure was triggered for every parameter ...a measure to be triggered if its stopping condition is satisfied prior to the last training ...each measure. Ideally, each measure should ...
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Comparing distributions by using dependent normalized random measure mixtures
... Keywords: Bayesian non-parametrics; Dependent distributions; Dirichlet process; Normalized generalized gamma process; Slice sampling; Utility function 1. Introduction This paper considers the non-parametric ...
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Comparing distributions using dependent normalized random measure mixtures
... This paper discusses a method for inferring differences between distributions associated with different groups of observations. A Bayesian nonparametric approach is taken and we intro- duce a novel form of priors, ...
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A Method to Measure and Estimate Normalized Contrast in Infrared Flash Thermography
... and normalized contrast. The definition of Thermofit Pro normalized contrast is different than used in this ...define normalized image contrast and the normalized temperature contrast ...
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A Complexity Measure for Diachronic Chinese Phonology
... From a computational point of view, one could say t h a t the scope for further generalisa- tion of the diachronic rules is greater for Modern Cantonese than fo[r] ...
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A Complexity Measure Based on Cognitive Weights
... software, complexity in terms of cognitive weights of basic control ...proposed complexity measure by comparing it with the other measures based on cognitive ...
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Complexity Measure of Software Composition Framework
... Some approaches handled the issue by means of Workflow Management Coali- tion [10], as well as meta-data and ontology mechanisms [11] to ensure reliable operation of intercommunicating systems. Modern software ...
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Pearson s Text Complexity Measure
... text complexity metric overcomes this lack by applying a well established and accurate computational language simulation model, Latent Semantic Analysis (LSA) (Deerwester et ...
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A Complexity Measure Based on Cognitive Weights
... software, complexity in terms of cognitive weights of basic control ...proposed complexity measure by comparing it with the other measures based on cognitive ...
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A NORMALIZED MEASURE FOR ESTIMATING CLASSIFICATION RULES FOR MULTI-CLASS IMBALANCED DATASETS
... CSSE Department, College of Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, INDIA Abstract Most of the classification techniques proposed to handle multi-class datasets address data that is roughly ...
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Lexical Quantile-Based Text Complexity Measure
... Abstract This paper introduces a new approach to esti- mating the text document complexity. Com- mon readability indices are based on average length of sentences and words. In contrast to these methods, we propose ...
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A vector-valued ground motion intensity measure incorporating normalized spectral area
... characteristics have similar EDP values. For example, the displacement ductility is expected to have similar values in buildings designed to the same ductility class; in contrast, roof displacement, which is an absolute ...
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Tikhonov Regularization as a Complexity Measure in Multiobjective Genetic Programming
... current population discarded; the process is then repeated. In the PCGP algorithm, crossover and mutation are always applied. See [15, 27] for further details. In MOGP, the risk – either empirical or vicinal – was one ...
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Tikhonov regularization as a complexity measure in multiobjective genetic programming
... and complexity simultaneously will effec- tively minimize the Tikhonov functional and should yield a set of non-dominated rank-1 individuals with various (implicit) values of ...
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On the use of hidden information as a measure of complexity in supply chains
... 31 | P a g e denominations seems to be helpful’. Ben Naim (2009) continues with reference to Tribus’s (1971) story on Shannon’s naming: ‘What’s in a name? In the case of Shannon’s measure the naming was not ...
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An Approach to Measure Cognitive Complexity for Object Oriented Code
... the complexity and the maintainability of ...illustrate complexity of the system. Once complexity are detected, then they can be easily corrected and quality and maintenance of the software can be ...
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An Interface Complexity Measure for Component based Software Systems
... on complexity of a component-based system is quite ...the complexity because of more coupling among ...about complexity of a component-based system may help a lot to software developers in reducing ...
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A new computational decoding complexity measure of convolutional codes
... 4 A case study In this section, we describe the implementation of the operations S, C b , and C i to obtain the respective num- ber of machine cycles based on simulations of the TMS320C55xx DSP from Texas Instruments. ...
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Software Cognitive Complexity Measure Based on Scope of Variables
... Let c be a nonnegative number, then there are only finitely many programs of complexity c. Since all programming languages can have only finite number of BCS's, variable assignments, and operators, it is assumed ...
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