[PDF] Top 20 A topological approach to linear network analysis
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A topological approach to linear network analysis
... 1.12 1.3.2 Calculation of Hioh-Order Polynomials A transfer polynomial of the complete network is the BAPS of a set of trees which all have branch paths between certain pairs of external[r] ... See full document
166
An Approach of Secure Face recognition using Linear discriminant analysis in Network
... Discriminant Analysis (LDA) has been successfully applied to face recognition which is based on a linear projection from the image space to a low dimensional space by maximizing the between class scatter ... See full document
10
An Efficient Approach for Age Invariant Face Recognition using Nonlinear Topological Component Analysis
... Component Analysis) for gender classification from human facial ...Component Analysis (KPCA) was introduced and investigated as novelty detection ...and topological learning was ...and ... See full document
7
A network pharmacology approach to discover active compounds and action mechanisms of San-Cao Granule for treatment of liver fibrosis
... fibrosis, network analysis was ...“compound–target–disease” network by using protein–protein interaction (PPI) informa- ...the network, and the topological features of each node in the ... See full document
11
A network-based approach to classify the three domains of life
... In our experimental setup we use three important classi- fiers, which are the k-nearest neighbour (k-nn), Naive Bayes, and logistic regression. k-nn is an instance-based learner, assigning a new instance to the majority ... See full document
15
A Three-Step Neural Network Artificial Intelligence Modeling Approach for Time, Productivity and Costs Prediction: A Case Study in Italian Forestry
... neural network analysis was performed to assess the relative importance of each variable (Abdou et ...the linear regression Variable Importance in the Projection (VIP) scores (Chong and Jun 2005, ... See full document
13
Topological Structure of Stock Market Networks during Financial Turbulence: Non Linear Approach
... Comparing the results derived from sections 3.1 and 3.2 shows that the two methods of building the MSTs, MI and dis- tance covariance have a significant difference to analyze the complex financial networks. The MSTs ... See full document
16
Feature Selection with Non Linear PCA: A Neural Network Approach
... To perform classification tasks through a computer, real objects must be represented in numerical form and this is done by performing, in an appropriate way, a modeling of reality that associates each object with a ... See full document
18
Complex and Dynamic Network Analysis: A Topological Perspective
... data analysis” (TDA), is a somewhat broad term which can be meant to describe any data analysis methods which use a topological space (or sequence of spaces) built from the data, and use features of ... See full document
124
Real-time face recognition system using radial basis function neural networks
... Low Level Analysis ,..-- Feature-Based r-- Feature Analysis Approach .._ Active Shape Model Face Detection 1-- Linear Subspace r- Image-Based '-- Method Neural Network Approach - Statist[r] ... See full document
24
A topological approach to nonlinear analysis
... The topological proof will utilize the ideas of complete metric spaces, Ascoli- Arzela theorem, topological properties in Euclidean n-space and normed linear spaces, and the extension [r] ... See full document
45
DETECTION AND PREVENTION OF UNKNOWN VULNERABILITES ON ENTERPRISE IP NETWORKS
... risk analysis, analyzes vulnerability dependencies and shows all possible attack paths into a ...intelligent analysis engine reasons through attack dependencies, producing a map of all vulnerability paths ... See full document
10
The Recurrence-Based Analysis of Intracranial Pressure
... data analysis has grown significantly in the recent ...new approach for the analysis of non- linear, non-stationary and noisy ...in topological properties of the system, RP visualizes ... See full document
154
A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data
... The network models examined here were estimated from transcript profiles that were subject to minimal data ...low-level analysis of profiling data is known to be important [57] so estimating network ... See full document
15
Fitness model for the Italian interbank money market
... A network is a mathematical object composed by ver- tices and edges joining them. Different measures can be made, from the degree distribution (the degree is the number of edges per vertex) to the diameter (i.e. ... See full document
6
Browder-Krasnoselskii-Type Fixed Point Theorems in Banach Spaces
... O’Regan, “Some fixed point theorems for concentrative mappings between locally convex linear topological spaces,” Nonlinear Analysis: Theory, Methods & Applications , vol. Browder, “[r] ... See full document
20
A Bayesian network approach to linear and nonlinear acoustic echo cancellation
... Bayesian approach to the tasks of linear and nonlinear acoustic echo cancellation ...a linear or nonlinear echo path) and its mathematical relation to the observation, it is shown that the normalized ... See full document
11
Two topics in the differential calculus on topological linear spaces
... TWO TOPICS IN THE DIFFERENTIAL CALCULUS ON TOPOLOGICAL LINEAR SPACES by John Lloyd A thesis submitted for the degree of Doctor of Philosophy at the Australian National University Canberra February, 19[.] ... See full document
119
A Novel Approach in MANETS for Random Linear Network Coding and Broadcasting
... deterministic approach displayed in [5] for showing my calculations however since my calculation executes locally at every hub, it can be straightforwardly connected to other confined deterministic methodologies ... See full document
6
A TOPOLOGICAL APPROACH TO INFINITY IN PHYSICS
... unconventional approach, a continuous monodimensional line becomes an assembly of countless bidimensional lines that superimpose in quantifiable knots and ... See full document
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