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node/edge attribute information into the topology-based net- ... E the edge attribute matrix of the network n1, n2. # of nodes in G1 and G2 m1, m2 .... b,y. 1( E1(a, b) = E2(x, y))A1(a, b) if N1(a, a) = N2(x, x). × A2(x, y)1(N1(b, b) = N2(y, y)). 1 .
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Intrinsic Information of Wideband Channels - Wireless
1). In contrast to the conventional setting where x is a RV with a known distribution, we consider x to be a UDP as in classic. X = x + N1. Y = x + N2. Z = x + N3.
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Reasoning with Fuzzy-cL+ Ontologies Using MapReduce
description logics are not able to represent fuzzy information, which is available .... 〈B, m〉 /∈ S(X), where m = min (n1, n2, n3) ... If 〈X, Y, n〉 ∈ R(r) and r ⊑ s ∈ O.
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Multiple User Information Theory - Information Systems Laboratory
other with noise spectral density N2. ... Gaussian random variables with variances N1 and N2, ... sage intended for receiver Y, in addition to the extra informa-.
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Latent Space Model for Multi-Modal Social Data
Oct 18, 2015 ... Using a latent space model that jointly represents informa- tion about ... 1 if nodes n1 and n2 are linked, and y(n1, n2) = 0 otherwise. While the ...
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Student's t distribution and Snedecor-Fisher's F distribution
That informa- tion can be used to ... N(µ1,σ1) distribution, while the second Y1,..., Yn2 ... ∑n1 i=1. (Xi − X)2 n1 − 1. ∼ σ2. 1χ2 n1-1 n1 − 1 and. S2. 2 = ∑n2 i=1.
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Enhanced PDF - Project Euclid
mean of the study variable y using information on two auxiliary variables x ... N2 = (N −N1). Let Y = ∑N i=1 yi/N and S2 y = ∑N i=1. (yi −Y)2/(N −1) denote the.
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Get PDF (218K) - Wiley Online Library
needs this information to predict the course your disease is likely to take and to plan the ... Y N2: Cancer cells found in 4 or more regional lymph nodes. ... Y Stage IIIA (T1-2, N1, M0): The cancer has grown through the mucosa into the submu-.
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Get PDF - OSA Publishing
distributed photon noise, and n2 to be zero mean post- detection ..... n1 n2. Y One attempts to recover the original informa- tion f from the encoding g. Fig. 1.
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Further Results on Implicit Factoring in Polynomial Time
Let X,Y,Z be the upper bounds of q2 + 1,q1,P1 − P1 respectively. As given in the ... Given N1,N2, with only the implicit information, we can factorize both of.
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XML with Incomplete Information: Models, Properties, and Query
ness, incomplete information in XML documents may appear not only as null values ...... and pairs (n1,x), (n2,y) are in [email protected] and [email protected], resp. Since x is the only ...
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Multi-access channels in quantum information theory
More generally, quantum information theory contains two distinct types of problem. ..... ¯n1, y = 1. 2. ¯n2. (41). Where ¯n1, ¯n2 are mean photon number of the ...
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Ruthenium-Catalyzed C–H Bond Activation Approach to Azolyl
Feb 18, 2016 ... United States. •S Supporting Information ... N2-isomers rearrange to the N1- isomers even upon storage at low temperature! This previously ...... (7) For reviews see: (a) Liang, Y.; Wnuk, S. F. Molecules 2015, 20,. 4874−4901.
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Exploiting Ontological Information for Reasoning with Preferences
plementing user preferences with ontological information so as to provide an ..... Where N1,N2 are the distances from the concepts C0 and. C1 to their MRCA ...
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A Multiscale Approach to Pixel-Level Image Fusion - Department of
All of these algorithms aimed at making fused image reveal new information concerning .... we write the product filter yz[n] = y[n1]z[n2], and denote ¯y[n] = y[−n ].
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Information Theoretical Analysis of the Aggregation and - People
that the aggregation which maximizes the amount of information preserved during the process of ..... Information M(N) consists of four terms, M(Nl), M(Nz), M[ N1—> N2] .... X and Y. The second term on the right of (A12) is the mutual information.
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Unicity Distance of Quantum Encryption Protocols
State Key Laboratory of Information Security, Institute of Information Engineering, .... 2. n2, n2 = ∑y p(y)n1(y): it is the average length of ciphertext necessary.
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2011 IEEE International Workshop
is performed by Mutual Information (MI) and a forward- .... The variables X and Y could be multi- .... ture matrix (D=2 for N1, N2 D=4) than the best approach.
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Paper - Journal of Machine Learning Research
partial information (Fazel, 2002; Rennie & Srebro, 2005; ... a projected gradient scheme on n1 × n2 matrices, and (2) a ... on rank r matrices of size n1 × n2. Here ..... Y. ]) ≤. 1. 4 σr(X). (3.6). Furthermore, take a constant step size µτ = µ for all τ = .
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Information embedding and related problems: recent - Stark Draper
and N2, respectively, with N1 >N2, then the achievable rate region for this channel is  ..... y x e m. Figure 3: Information embedding with noisy host information.
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