[PDF] Top 20 ESTABLECIMIENTO DE UN SISTEMA DE BIORREACTORES PARA LA MICROPROPAGACIÓN DE VAINILLA (Vanilla planifolia Jacks. ex Andrews)
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Network-based data classification: combining K-associated optimal graphs and high-level prediction
... tree, K-nearest neighbors, and support vector ...the classification and regression tree (CART) algorithm ...4,5,10,15,20,30,50}. Based on the previous works applying the KNN on real-world data ... See full document
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Classification Of Medical Image Data Using K Nearest Neighbor And Finding The Optimal K Value
... selecting optimal k ...statistical prediction of video quality created different sorts of data distortions that exposes higher spatial and temporal ...category based probability density ... See full document
6
Combining Word Level and Character Level Representations for Relation Classification of Informal Text
... dataset based on TAC-KBP Slot Filling ...by combining character feature into word-level ...word- level only experiment, and replace the high- way with a fully connected ...character- ... See full document
14
Deep Intelligent Prediction Network: A Novel Deep Learning Based Prediction Model on Spatiotemporal Characteristics and Location Based Services for Big Data Driven Intelligent Transportation System
... big Data for intelligent transportation system has been employed for traffic management on dealing with dynamic traffic ...Big data analytics helps to cope with large amount of storage and computing ... See full document
48
Partially labeled data stream classification with the semi-supervised K-associated graph
... the proposed algorithm in the artificial domains can be par- tially explained due to the KAOGINCSSL ability to get rid of past concepts much faster than the ensemble algorithms used for comparison. Now, for better ... See full document
200
Object based Classification of Satellite Images by Combining the HDP, IBP and k mean on Multiple Scenes
... color performing the classifications by using support vector machine algorithm. Hierarchical dirichlet process very high resolution satellite image are divided into sub images. HDP is transmitting the spatial ... See full document
34
Predicting Freeway Travelling Time Using Multiple-Source Data
... Travel Time Prediction Model for Urban Road Network based on Multi-source Data. Freeway Travel Time Prediction Based on Seamless Spatio-temporal 488[r] ... See full document
30
Improved the Prediction of Multiple Linear Regression Model Performance Using the Hybrid Approach: A Case Study of Chlorophyll a at the Offshore Kuala Terengganu, Terengganu
... Chlorophyll (chl) is a bio-indicator of the aquatic ecosystem, as it is common to all photosynthesis organisms. It’s also widely used for estimation of phytoplankton in ecological studies and water quality [1]-[5]. The ... See full document
49
AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE
... analysis based on accident data from 20 laboratories in Cross River State, Nigeria is presented in the paper "Evaluation of Evaluations of the Effect of Workshop / Laboratory Accidents and Precautionary ... See full document
15
An Integrated Intrusion Detection System by Combining SVM with AdaBoost
... sample data of 41 dimensional from the training set, which contains 6059 “Normal”, 3866 “Neptune”, 516 “Portsweep”, 177 “SatanJ”, 11 “Buffer_overflow” and 2183 “Guess-password”, and ex- tracts 124970 sample ... See full document
52
REDUCTION IN FALSE POSITIVE RATE BY COMBINING SVM AND KNN ALGO
... select data from different class; 3 Generate of support vector machine classifier; 4 While number of iteration to add data to data set 5 Make available support vector to create hyperplane; 6 ... See full document
27
Multilabelled Optimal Feature Classification Procedure for High Dimensional Bio Medical Data
... Procedure: Combinatorial improvement issues are pull in light of the way that they are routinely easy to condition however incredibly befuddling. To for all expectations and target light up enormous circumstances one ... See full document
11
Learning hierarchically organized science categories: simultaneous instruction at the high and subtype levels
... the high and subtype levels ...alternatives associated with each rock consisted simultaneously of the high-level category and the subtype ...measure high-level naming ... See full document
40
Skin Lesion Segmentation and Classification Based on High Level Features
... In Fig 1, Skin lesion image is an input image for my project. Size of the image is 256*256.The input images are classified into 2 types. One is melanoma and other is benign. Detection of melanoma in images obtained using ... See full document
81
Toward Combining Fuzzy Graphs Based on Hedge Algebra
... In many learning algorithms, which use Hebbian rule [3, 4], as time t, the weight of every edges will always be updated ∆e ij = f ( P k e jk × c k × c j ). Let ~ M(n), 2 ≤ n ≤ N be total connection matrices ... See full document
18
Disease Prediction Based On Retinal Images using Neural Network Classification
... Adam Hoover, et.al… [5] Describes an automatic technique to find and description of varied blood vessels in pictures of the ocular bodily structure within the eyes. Such tool ought to prove helpful to eye care ... See full document
16
K Means Based Clustering In High Dimensional Data
... clustering high dimensional data. [1]High dimensional data is an challenge for clustering algorithms because of the implicit sparsity of the ...clustering data points is examine by a ... See full document
108
Quantitative succinylome analysis in the liver of non-alcoholic fatty liver disease rat model
... succinylation level on these metabolism and cellular processes related pro- teins may have changed many normal metabolism path- ways and promoted NAFLD ...succinylation level could be the poten- tial ... See full document
25
Segmenting the Banking Market Strategy by Clustering
... The two phase clustering method has received an increasing attention in today‟s marketing and commercial areas. This is due to the fact that there is a fast access to the profitable customers by segmenting the customers ... See full document
105
GENE EXPRESSION DATA ANALYSIS USING DATA MINING ALGORITHMS FOR COLON CANCER
... and high in fat, certain types of colonic polyps, inflammatory bowel disease (such as Crohn's disease or ulcerative colitis), and certain hereditary disorders [5][6] ... See full document
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