Framework Pairwise Ranking and Comparison Analysis
Trimming the complexity of Ranking by Pairwise Comparison
... 4.4. COMPARISON SELECTION ALGORITHMS 107 the speed and equivalent to a pure random selection. In general, with a greedy approach, the true optimum is not guaranteed to be reached because the union of all ...
251
An application of incomplete pairwise comparison matrices for ranking top tennis players
... Abstract Pairwise comparison is an important tool in multi-attribute decision ...making. Pairwise comparison matrices (PCM) have been applied for ranking criteria and for scoring ...
14
On the ERA ranking representability of pairwise bipartite ranking functions
... AUC ranking representable one-versus-one model will not always be beaten by a ranking ...AUC ranking representability is fulfilled, but further research is required to verify whether this idea would ...
28
Label ranking by learning pairwise preferences
... comprehensive analysis under varying conditions, we considered different scenarios that can be roughly categorized as real-world and ...where ranking and multilabeled data, respectively, can frequently be ...
20
Analysis of pairwise comparison matrices: an empirical research
... last comparison much ...of pairwise comparisons ...fewer pairwise comparisons are required to obtain a good estimation than for subjective ...of pairwise comparisons in order to obtain ...
20
Person re-identification with pairwise learning and ranking
... proposed framework take advantage of low-level details such as multiple color channels, semantic color names, LBP and gradients, as well as global information including histograms of low-level features, statistics ...
70
Efficiency Analysis of Simple Perturbed Pairwise Comparison Matrices
... of pairwise comparison ...every pairwise ratio of the latter’s components is at least as close to the corresponding element of the pairwise comparison matrix as the one of the former’s ...
13
Multi task Pairwise Neural Ranking for Hashtag Segmentation
... Hashtags are often employed on social me- dia and beyond to add metadata to a tex- tual utterance with the goal of increasing dis- coverability, aiding search, or providing addi- tional semantics. However, the semantic ...
12
Neural Pairwise Ranking Factorization Machine for Item Recommendation
... Neural Pairwise Ranking Factorization Machine for Item Recommendation 3 3 Neural Pairwise Ranking Factorization Machine To model the high-order interaction behaviors among features as well as ...
10
Multiple Pairwise Ranking Networks for Personalized Video Summarization
... subjective comparison between Multi-ranker and VASNet [11] summaries, while the remaining scenarios are comparisons between local, personalized and global sum- maries in term of usability and satisfaction from the ...
10
Simple, Robust and Optimal Ranking from Pairwise Comparisons
... their analysis applies to a specific model in which the pairwise comparison between any pair of items remains faithful to their relative positions in the true ranking with a probability common ...
38
Automatic Projection of Semantic Structures: an Application to Pairwise Translation Ranking
... our framework does not require the availability of com- parable linguistic processors and linguistic annota- tions, tagsets, ...linguistic analysis for MT confidence ...
9
Incomplete pairwise comparison and consistency optimization
... this framework, a ij estimates the relative preference of the alternative A i when it is compared with the alternative A j ...the comparison a ij , Saaty proposes to use the rational numbers 1/9, 1/8, ...
20
Pairwise meta-rules for better meta-learning-based algorithm ranking
... a comparison of meta-feature sets based on k-NN performance curves; the other one is a comparison of ranking performances of multiple rankers on two meta-feature ...
23
Incomplete pairwise comparison matrices and weighting methods
... incomplete pairwise comparison matrices as only partial information is available: for some pairs no comparison is given in the ...a ranking such that an alternative directly preferred to ...
12
Nonparametric predictive pairwise comparison with competing risks.
... and cost, which effectively means that all units in all groups that have not yet failed are right-censored at the time the experiment is ended. Recently, Janurov´ a and Briˇs (2013) applied NPI for mortality ...
19
Ranking Reader Emotions Using Pairwise Loss Minimization and Emotional Distribution Regression
... to ranking reader ...the pairwise loss minimi- zation framework used in information retrieval to rank ...the pairwise loss minimization method pro- duces ordered lists of emotions that have ...
9
A FRAMEWORK FOR ANALYSIS AND COMPARISON OF DYNAMIC MALWARE ANALYSIS TOOLS
... timely analysis of such ...malware analysis; Static and Dynamic ...dynamic analysis observes a malicious behavior while a sample code is executed whereas; the static approach does not execute the ...
12
Page Ranking Algorithms – A Comparison
... page ranking algorithms, which are an application of web mining, play a major character in making the user search navigation easier in the results of search ...exhaustive analysis of algorithms for ...
5
Comparing inconsistency of pairwise comparison matrices depending on entries
... Experiments have been long used in psychology (Wixted, 2017). Experimental psychology employs human participants to study a variety of topics, including among others sensation and perception, memory, cognition, learning, ...
17