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Binary vector
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Ebook Introduction to matrix algebra presents the following content: Chapter 1: introduction, chapter 2: vectors, chapter 3: binary matrix operations, chapter 4: unary matrix operations, chapter 5: system of equations, chapter 6: gaussian elimination, chapter 7: LU decomposition, chapter 8: gauss- seidal method, chapter 9: adequacy of solutions, chapter 10: eigenvalues and eigenvectors.
192p
zizaybay1103
29-05-2024
2
1
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Lecture Artificial intelligence: Binary classifiers for multi-class classification problems. This lecture provides students with content including: classification; binary classification; multi-class classification; binary classifiers; support vector machines; perceptron; logistic regression;... Please refer to the detailed content of the lecture!
12p
codabach1016
03-05-2024
4
0
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This paper presents research on detecting fake news based on news content and social context approach using machine learning. First of all, we analyze related concepts, methods of detecting fake news. Next, we model this task as a binary classification problem, representing news content and social context as feature vectors.
12p
vigojek
02-02-2024
6
2
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Continued part 1, part 2 of ebook "Twenty-first century quantum mechanics: Hilbert space to quantum computers - Mathematical methods and conceptual foundations" provides readers with content including: Chapter 4 New adventures - isotropic vectors, rotations, spinors, and groups; Chapter 5 - Quantum entanglement and Bell's theorem; Chapter 6 - Digital and quantum computers;...
148p
lytamnguyet
04-08-2023
4
3
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The invasive fly Drosophila suzukii has become an established fruit pest in Europe, the USA, and South America with no effective and safe pest management. Genetic engineering enables the development of transgenebased novel genetic control strategies against insect pests and disease vectors.
13p
vihagrid
30-01-2023
7
3
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This paper proposes an integration of one-againstone (OAO) strategy and support vector machines (SVM) to diagnose multiple faults of steel plates. The OAO is adopted to address multi-classification tasks in the binary SVM (i.e, OAOSVMs). The performance of the proposed model is compared with that of optimization algorithm-based SVM.
4p
vispyker
16-11-2022
6
1
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Information retrieval techniques: Lecture 4. The main topics covered in this chapter include: vector space retrieval model; the vector model; term frequency tf; document frequency; tf-idf weighting; binary term-document incidence matrix;... Please refer to the content of document.
16p
tieuvulinhhoa
22-09-2022
6
4
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In this paper, we propose a new Improvement Least Square - Support Vector Machine (called ILS-SVM) for binary classification problems with a class-vs-cluster strategy. Experimental results show that the ILS-SVM training time is faster than that of TSVM, and the ILS-SVM accuracy is better than LSTSVM and TSVM in most cases.
6p
viplato
05-04-2022
17
1
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Melia azedarach L. is a multipurpose timber tree that is important in forestry plantations. Genetic modification to improve the growth rate and wood quality is important to produce new cultivars of M. azedarach. In this study, the effects of AtGA20ox gene expression on plant growth, wood formation, and biomass production in transgenic M. azedarach plants were investigated. AtGA20ox was inserted into the binary vector pBI101 under the control of the xylem specific promoter CAD4 and transferred to M. azedarach via Agrobacterium-mediated method.
9p
tudichquannguyet
29-11-2021
11
0
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n the present work, a pioneering attempt has been made to overexpress master regulator binary transcription factor complex formed by HlWRKY1 and HlWDR1 using a plant expression vector to enhance the level of prenylflavonoid and bitter acid content in the hop. Subsequently, we performed transcriptional profiling using high-throughput RNA-Seq technology in leaves of resultant transformants and wild-type hop to gain in-depth information about the genome-wide functional changes induced by HlWRKY1 and HlWDR1 overexpression.
18p
vitzuyu2711
29-09-2021
6
1
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This paper proposes a new Weighted Structural - Support Vector Machine (called WS-SVM) for binary classification problems with a class-vs-clusters strategy. Experimental results show that WS-SVM could describe the tendency of the distribution of cluster information. Furthermore, both the theory and experiment show that the training time of the WS-SVM for classification problem has significantly improved compared to S-TWSVM.
14p
nguaconbaynhay11
07-04-2021
14
2
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Diverse interactions occur between biomolecules, such as activation, inhibition, expression, or repression. However, previous network-based studies of drug repositioning have employed interaction on the binary protein-protein interaction (PPI) network without considering the characteristics of the interactions.
12p
viconnecticut2711
28-10-2020
12
2
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In terms of ideas, SVM uses tricks to map the original dataset to more dimensional spaces. Once mapped to a multidimensional space, SVM will review and select the most suitable superlattice to classify that data set.
9p
kequaidan3
11-03-2020
10
1
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The filamentous fungus Aspergillus oryzae, also named as the koji mold, is a preferred host for enzyme production due to its prominent secretion ability into the culture medium. Fungal laccases are widely used in different industrial processes, especially in removing environmental pollutants. Up till now, little was known about the roles of some laccase genes from the black mold Aspergillus niger. The McoD laccase gene from A. niger includes three exons interrupted by two short introns.
8p
caygaocaolon1
13-11-2019
14
0
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In this paper, static properties include number of non-zero (white) pixels in square, horizontal, vertical and diagonal styles as sub regions of a binary image. The dynamic properties include features from recovery of drawing order of original image.
10p
vititan2711
13-08-2019
23
0
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This study focuses on developing a bioinformatics method based on AA composition in order to explore Sulfation site. A work builds the training model from 483 experimentally and verifies Sulfation proteins by an inquiry in four features including 20D Binary code, AAC, Blosum62, and PSSM.
4p
viboruto2711
16-05-2019
18
0
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In this work, a hybrid approach based on the Support Vector machines (SVM) and genetic algorithms (GA) is developed. The SVM are learning machines that can perform binary classification and real value function approximation (regression estimation) tasks. This tool of the artificial intelligence founded on the theory of the statistical learning was selected for its great capacity of training and generalization.
9p
byphasse043256
22-03-2019
28
0
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Plant-mediated RNA interference (RNAi) has shown a great potential in pest control and requires i) subcloning of sense/ antisense regions in compatible vectors, ii) transfer of the silencing cassette into a binary vector, iii) transformation of Agrobacterium tumefaciens with desired binary plasmids, and iv) transformation of plants with Agrobacterium.
8p
sony2711
01-02-2019
29
1
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A β-1,3-glucanase gene from Arthrobacter sp. driven by the 35S promoter was singly transformed into two lettuce cultivars, Cobham Gree and Diana, using the binary vector system of Agrobacterium tumefaciens.
9p
aquaman27
15-01-2019
16
1
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This lecture describes the construction of binary classifiers using a technique called Logistic Regression. The objective is for you to learn: How to apply logistic regression to discriminate between two classes; how to formulate the logistic regression likelihood; how to derive the gradient and Hessian of logistic regression; how to incorporate the gradient vector and Hessian matrix into Newton’s optimization algorithm so as to come up with an algorithm for logistic regression, which we call IRLS.
17p
allbymyself_08
22-02-2016
52
7
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