Synthesized pairwise comparison and priority vector
Pairwise Classification and Pairwise Support Vector Machines
... other pairwise classification techniques to those training sets but several problems ...for pairwise SVMs and the presented datasets were ...for pairwise SVMs. Thus, any comparison would not ...
123
Trimming the complexity of Ranking by Pairwise Comparison
... the comparison set selection algorithms presented in Chapter 4, we performed an empirical survey on three ...feature vector of one of the 943 objects, y is one of the 1682 labels and S is an integer value ...
251
Incomplete pairwise comparison and consistency optimization
... The second Harker’s method [10] is based on the following idea. The missing (i, j)–component is set to be equal to w i /w j , where the components of the vector w are not known and are to be calculated. In other ...
20
Training pairwise Support Vector Machines with large scale datasets
... “same speaker” pairs Fig. 3: Performance comparison of PLDA and of pairwise SVM models on Condition 5 of NIST 2012 evaluation. and PSVM models trained with utterances provided by an increas- ing number of ...
6
Incomplete pairwise comparison matrices and weighting methods
... consistent pairwise comparison matrix can be associated to a weight vector w where 𝑎 𝑖𝑗 = 𝑤 𝑖 /𝑤 𝑗 for all 𝑖, 𝑗 = 1, 2, ...scalars. Pairwise comparison matrices provided by decision ...
12
On optimal completions of incomplete pairwise comparison matrices
... the pairwise comparison matrix to the case when only partial information is avail- able: for some pairs no comparison is ...Eigen- vector Method and the Logarithmic Least Squares ...
32
Analysis of pairwise comparison matrices: an empirical research
... Results are organized to answer five research questions. Three of them are directly connected to the inconsistency of a PC matrix. Various types of inconsistency indices have been applied. We have found that the type of ...
20
An LP-based inconsistency monitoring of pairwise comparison matrices
... The consistency-driven approach incorporates the reasonable assumption that by finding the most inconsistent assessments, one is able to reconsider his/her own opinions. This approach can be extended to incomplete data. ...
9
Comparing inconsistency of pairwise comparison matrices depending on entries
... Several techniques have also been proposed to derive the priorities from a PCM (Barzilai, 1997; Cook and Kress, 1988; Jones and Mardle, 2004; Ishizaka and Lusti, 2006; Cavallo and D’Apuzzo, 2012a). However, a ...
17
Efficiency Analysis of Simple Perturbed Pairwise Comparison Matrices
... of pairwise comparison matrices. A weight vector is called efficient if no alternative weight vector exists such that every pairwise ratio of the latter’s components is at least as ...
13
The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)
... response vector, µ the global mean of the data, α i the difference to the mean of the i-th group and the residual ...response vector y is transformed into ranks with increasing ...
9
Estimation of Decision Alternatives on the Basis of Interval Pairwise Comparison Matrices
... a vector of reliable weights of decision alternatives on the basis of interval pairwise comparison judgments of ...interval pairwise comparison matrices (IPCMs), was ...expert ...
16
Pairwise comparison matrices and the error-free property of the decision maker
... In order to get an error-free matrix not only the properties of the original PCM is crucial, but the accuracy and the efficiency of the estimation function, too. The esti- mation function is efficient, if (T) is ...
11
A heuristics approach for computing the largest eigenvalue of a pairwise comparison matrix
... alternative priority derivation methods such as the LLST (Crawford and Williams, 1985), LP based procedure (Chandran et ...the priority derivation methods employed, it requires sophisticated ...
19
Priority based hybrid distance vector routing protocol in Manet
... performance comparison of reactive and proactive protocols AODV, DSR and DSDV based on metrics such as throughput, control overhead, packet delivery ratio and average end-to-end delay by using the NS-2 ...
12
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine
... localization; Pairwise sequence alignment; Support vector machine ...are synthesized on ribosomes in the cytosol and are delivered to the organelles in which they are ...are synthesized on ...
6
An application of incomplete pairwise comparison matrices for ranking top tennis players
... the pairwise comparison matrices of those players who have been leading the ATP ranking for a period of any ...weight vector we can produce an order of the players: a ...
14
paircompviz: An R Package for Visualization of Multiple Pairwise Comparison Test Results
... a vector of string flags that enable drawing of some additional graphical information into the ...the vector, the vertices background color is derived from mean, median, or proportion, respectively, "size" ...
13
On inconsistency of a pairwise comparison matrix
... Analytical Hierarchy Process is a method of solving a Multiple Attribute Decision Mak- ing. This method is based on the pairwise comparisons between the alternatives. These comparisons form a matrix named ...
8
Pairwise Discriminative Speaker Verification in the I-Vector Space
... of pairwise discriminative training illustrated in Section III-E provides the rationale for a straightforward approach to gender–independent pairwise discriminative ...in pairwise SVM training we ...
18