[PDF] Top 20 An Index Hybrid Method Based on Improved Logistic Model for Link Prediction
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An Index Hybrid Method Based on Improved Logistic Model for Link Prediction
... similarity index based on local information. Their definitions are based on the description of network characteristics from a certain point of ...the prediction effect is not ...the ... See full document
6
A Variable Selection Method for Pulverizing Capability Prediction of Tumbling Mill Based on Improved Hybrid Genetic Algorithm
... the prediction model of pulverizing capability, so the mo- del complexity would be reduced and the prediction accuracy would be ...methodology based on the natural selection ... See full document
8
A Hybrid Ensemble Model for Corporate Bankruptcy Prediction Based on Feature Engineering Method
... proposed model, we presented the performance of the ten baseline classifiers in Table ...[2], Logistic Regression (LR) [3], Multilayer Perceptron (MLP) [4], J48 decision tree [5], Random Forests (RF) [6], ... See full document
7
HALLP: A Hybrid Active Learning Approach to Link Prediction Task
... on link prediction have been ...structural logistic regression models [6], and stochastic relational models ...for link prediction and concluded that SVM outperformed other models in ... See full document
6
Semantic Prefetching Based Hybrid Prediction Model
... 2.1 Prediction Algorithms based on Web Usage Mining Markov model is one of the web usage mining ...the prediction of user‘s next action can be accomplished by using higher-order Markov models ... See full document
6
A Computational Model For Prediction Of Heart Disease Based On Logistic Regression With Gridsearchcv
... learning model prototype, which predicts heart disease more ...proposed model the heart disease dataset (HDD) from the UCI repository is ...and logistic regression. Among these three (3) methods ... See full document
6
A dynamic tire model based on HPSO-SVM
... terrain model was ...the model and fitted with a support vector machine (SVM) model. Hybrid particle swarm optimization (HPSO) was used to optimize the parameters of SVM prediction ... See full document
6
Improved Link Prediction Using PCA
... feature based learning ...allocation index and centrality based features (Degree centrality, Closeness centrality and Betweeness ...classification based link prediction ... See full document
8
Research on the Influence of Network Motif on Link Prediction
... similarity method based on node for link ...Although based on the network node attributes and other information can obtain good prediction results, but in most cases, it is quite ... See full document
5
Hybrid Influence Index Based on Endpoint Attribute Diversity in Link Prediction in Complex Networks
... links based on network structure, which mainly includes nodes and ...Sørensen Index [20], LRW and SRW ...influence, based on an excellent link prediction model Superposed Random ... See full document
10
The Prediction of Stock Price Based on Improved Wavelet Neural Network
... Average Model (ARIMA) [3], support vector machine [4] and neural net- work (NN), wavelet neural network (WNN) [5] ...analysis method, but stock market is a large of nonlinear dynamic system and share price ... See full document
6
Process Capability Index for Logistic Regression Profile Based on Spmk Index
... Their method could distinguish efficient and inefficient response variables at different levels of the independent ...a method to estimate the PCI of linear profiles based on nonconforming ... See full document
7
Improved Signcryption Algorithm for Information Security in Networks
... key based mechanism are appropriate for miniature messages, the hybrid encryption (KEM-DEM) offers a proficient and realistic ...an improved signcryption method, which takes cues from the KEM ... See full document
7
Recommender Systems and their Security Concerns
... to model User × Item ...a model for ...semantic model [82] to cluster users into different groups ...Parallel based and distributed based methods are also sharp tools to improve the ... See full document
33
Self organizing map and least square support vector machine method for river flow modelling
... (SVM) model which was first suggested by Vapnik (1995), has recently been used in a range of applications such as in data mining, classification, regression and time series forecasting (Tay & Cao, 2001; Zhang, ... See full document
45
Predicting beta-turns in proteins using support vector machines with fractional polynomials
... a hybrid method for b-turns pre- diction. We called this hybrid method ...LR model selected based on fractional poly- nomials is used to aggregate the decisions of the SVMs to ... See full document
10
Future Population Projection of Bangladesh by Growth Rate Modeling Using Logistic Population Model
... reasonably logistic and if so what parameters a and k will give a good ...the logistic differential equation we have to estimate values of the derivative ... See full document
11
Improved Semantic Parsers For If Then Statements
... the logistic regres- sion classifier consistently outperforms the neu- ral network, though by a small ...a logistic regression ...the logistic re- gression, because the loss function was not opti- ... See full document
11
A Fast Hybrid WCIP and Fdtlm Approach to Study Inhomogeneous Circuits
... (FDTLM) method [4] is a numerical technique suitable for electromagnetic field phenomena simulation in microwave ...is based on the analogy between voltages/currents behavior in an interconnected ... See full document
8
Improved Double Auction Protocol based on a Hybrid Trust Model
... trust model, there are m auctioneers, out of which a fraction are assumed to be trustworthy ...trust model assumes a third party who is not fully trusted but does not collude with other parties including ... See full document
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