weighting schemes
Comparison and fusion of retrieval schemes based on different structures, similarity measures and weighting schemes
... search schemes based on different structures like search by title, abstract and bibliography for finding out which one is better than others in finding relevant theses to a user ...different weighting ...
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Classification of Sexual Harassment on Facebook Using Term Weighting Schemes
... term weighting schemes will be implemented to select relevant terms toward sexual harassment, and these terms are used to classify sexual harassment and nonsexual harassment ...term weighting ...
5
Classification of Online Grooming on Chat Logs Using Two Term Weighting Schemes
... term weighting schemes on two datasets are used to improve the content-based classification ...term weighting schemes in classifying grooming ...term weighting schemes namely ...
8
A Robust VaR Model under Different Time Periods and Weighting Schemes
... This paper analyses several volatility models by examining their ability to forecast the Value-at-Risk (VaR) for two different time periods and two capitalization weighting schemes. Specifically, VaR is ...
25
Testing rare variants for hypertension using family based tests with different weighting schemes
... 4 weighting schemes for the family-based rare variants test (FBAT-v) to test for the effects of both rare and common variants across the ...proposed weighting schemes on the Genetic Analysis ...
5
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
... Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated feature weighting schemes from ...
10
Classification of terrorism based on tweet text post on twitter using term weighting schemes
... term weighting schemes on two datasets are used to improve the automated content-based classification techniques, which is required to filter out unwanted ...
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Term Weighting Schemes for Latent Dirichlet Allocation
... priate weighting schemes comparable to those sometimes used in Latent Semantic Indexing ...proposed weighting methods not only make theoretical sense, but can also be shown to improve precision ...
9
An Evaluation of Alternative Equity Indices - Part 1: Heuristic and Optimised Weighting Schemes
... Diversity Weighting and Risk Clustering indices also tend to be overweight the more risky stocks – defined by total volatility – and underweight the stocks in the lower risk deciles relative to the Market-cap ...
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An Evaluation of Alternative Equity Indices - Part 2: Fundamental Weighting Schemes
... Reward to risk ratios are one way of calibrating risk for investors, or at least a way of calibrating the reward they receive relative to the risks that they bear. However, many investors, including trustees of DB ...
28
Text content analysis for illicit web pages by using neural networks
... term weighting scheme is ...term weighting scheme to classify pornography and sex education web ...term weighting schemes. The output of the schemes is the input for artificial neural ...
19
Classification of illicit web pages using neural network
... Abstract: The illicit web contents such as pornography, violence, gambling, etc, have greatly polluted the mind o f web users especially children and teenagers. Due to some popular web filtering techniques like Uniform ...
21
Reducing Downscaling & Model Uncertainties in CMIP5 Decadal Hindcasts/ Projections.
... equal weighting. Equal weighting has its own merit and ...based weighting schemes have shown improved average prediction skill in seasonal forecasting (Rajagopalan et ...static ...
147
The 2005 European e Business Readiness Index
... allocation schemes (for a review see Nardo et ...of weighting schemes: equal weights, principal component analysis and budget ...Equal weighting is based on the hypothesis that no objective ...
55
Reducing Over Weighting in Supervised Term Weighting for Sentiment Analysis
... Term weighting is the task of assigning appropriate weights to terms according to their correlations with the category ...Term weighting schemes fall into two categories (Lan et ...term ...
9
Topic-based mixture language modelling
... Figure 7 shows perplexities using three term weighting schemes, with and without SVD projection. The number of class specific LMs was set between 10 and 1000. The figure implies that mixture based LM ...
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MODIFICATION OF NEURAL NETWORK ALGORITHM USING CONJUGATE GRADIENT WITH ADDITION OF WEIGHT INITIALIZATION
... feature weighting schemes for each normalized feature value and variations in the number of clusters will affect increases in the levels of accuracy and speed of image asset database ...W2 weighting ...
9
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting
... introduced weighting schemes to incorporate weights in naive ...research, weighting in naive Bayes has been viewed as a way of enhancing the impact of attributes that are highly correlated with the ...
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The Weighting is the Hardest Part: On the Behavior of the Likelihood Ratio Test and the Score Test Under a Data-Driven Weighting Scheme in Sequenced Samples
... defensible weighting schemes, of which, we assume, the one that gives the largest test statistic is likely to capture best the allele frequency–functional effect ...data-driven weighting procedure ...
11
A biologically informed method for detecting rare variant associations
... four weighting schemes provided within BioBin: control, minimum, maximum and overall weighting, in addition to the no locus weighting ...These weighting methods were examined using two ...
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