Multi-dimensional vector.
A Multi dimensional Vector Based Access Control Model for Social Networks
... In order to provide an efficient access control model in social networks, we propose a multi-dimensional vector based access control model. First, we construct the multi-dimensional ...
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INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK
... the multi-dimensional vectors based on ...the multi-dimensional vector of one English document (which is classified), the positive vector group, the negative vector group; ...
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INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK
... positive vector group or the negative vector group in a distributed network environment in Figure 12 as follows: Based on the creating a basis English sentiment dictionary (bESD) in a distributed system ...
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Comments and Suggestions on Defining and Using P-Values and Null Hypothesis Tests
... finite dimensional vector ...finite- dimensional vector space, in particular in Euclidean space, at uncertainty conditions in the form of mathematical models in connected with complexity of ...
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Economic Graphical Modeling from 2 Dimensional Graphs to Multi Dimensional Graphs
... 2. The 2-Dimensional space is “ easy to apply ” for visualize basic trends or values in the same graphical space. According to our research through 5,000 documents (JSTOR and DIRECT SCIENCES -ELSEVIER-, 2008) were ...
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Multi Dimensional Text Classification
... of multi- dimensional category model: training set size and the granularity of ...the multi-dimensional model deals with the finest granularity of classes because all combinations of classes ...
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Controllability and optimality in economic stabilisation theory
... target vector to be fixed or free? The necessary conditions for optimality accommodate either choice but, again for simplicity, the free endpoint assumption has generally been used; although fixed endpoint ...
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Robust Multi Weight Vector Projection Support Vector Machine
... Support vector machine (SVM) has gained a great deal of attention due to its great generalization ability, which has been a powerful classification method in the machine learning [1] ...support vector ...
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Three dimensional magnetization vector inversion of a seamount
... three dimensional body with layered and segmented blocks, which have variable magnetization intensities, was first applied to the Quaternary volcano of Miyake-jima is- land in Japan by Ueda et ...
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On the Rotation of a Vector Field in a Four Dimensional Space
... The geometric frameworks that relate to the vectors r , and v in a circular rotational motion with con- stant frequency are equivalent in three and four dimensions, and the appendix of this work also suggests that they ...
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STRUCTURAL DISCONTINUITIES IN A MULTI BOND GRAPH
... Consider the case study of contact between a vehicle and the ground: when the wheel ceases to contact the ground, it does so in all directions. There is no vertical reaction from the ground, nor is there any lateral or ...
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A Direct Estimation of High Dimensional Stationary Vector Autoregressions
... Estimation of the vector autoregressive model is an interesting problem and has been in- vestigated for a long time. This problem is intrinsically linked to the regression problem with multiple responses. ...
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Decomposition of intra household disparity sensitive fuzzy multi dimensional poverty index: A study of vulnerability through Machine Learning
... To decompose the multi-dimensional poverty index machine learning can be used. Machine Learning(ML) is a technique of data analytics that instructs computer to learn from experience. Machine Learnings ...
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Antimicrobial Resistance in the Farm-To-Plate Continuum: More Than a Food Safety Issue
... A multi-pronged strategy has been proposed to ensure food safety as it is a collective responsibility requiring collaboration among the government, food-producing industries and the public across the farm-to-plate ...
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High-dimensional Statistical Inference: from Vector to Matrix
... High-dimensional statistical inference has been a very active area in the recent years. During my graduate studies, I have been fascinated by a range of interesting problems in this field. These problems are ...
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Faster PCA and Linear Regression through Hypercubes in HElib
... 1. Firstly, we improve upon the plaintext structure used in Lu et al.’s method [16] by utilizing a two-dimensional hypercube structure. This gives us benefits in terms of both space and time complexity. As a ...
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Linear Mathematics In Infinite Dimensions: Signals, Boundary Value Problems and Special Functions - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... Roughly speaking, we are making a generalization from the theory of linear transformation on finite dimensional vector space to the the- ory of linear operators on infinite dimensional v[r] ...
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Multi Dimensional and Multi Level Authentication Techniques
... stringent. Multi-level passwords prevent unauthorized users from entering the system even if they are aware of one of the ...of Multi-dimensional and Multi-level passwords gives superior ...
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Multi Dimensional Feature Merger for Question Answering
... questions. Multi-dimensional merging also requires that the question be divided up, but it does not require that the parts of the question form coherent subquestions, since it is performed after all of the ...
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Towards better understanding the challenges of reliable and trust aware critical communications in the aftermath of disaster
... long-term, multi- dimensional peer behaviour analysis (Subsection B) and participates in collaborative localised reputation exchange to propagate trust values throughout the network (Subsection ...
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