Ranking the models: Cumulative Absolute Differences (CAD)
Ranking Models in Conjoint Analysis
... In this paper we consider the estimation of probabilistic ranking models in the context of conjoint experiments. By using approximate rather than exact ranking probabilities, we do not need to ...
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Label Ranking with Probabilistic Models
... probabilistic models for rankings: Assuming that the condi- tional probability distribution of the output given the query is locally con- stant, we derive the maximum likelihood estimations based on the Mallows ...
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Ranking of DMUs by using TOPSIS and dierent ranking models in DEA
... units. Ranking efficient DMUs has become the interest of many DEA re- ...DEA models have been formulated for ranking efficient ...for ranking efficient ...
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Specialized Models and Ranking for Coreference Resolution
... of ranking versus classification and specialized versus monolithic ...all models, each mention m ∈ M is associated at test time with a set of an- tecedent candidates C m , which includes all the men- tions ...
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Consistent ranking of multivariate volatility models
... the ranking of multivariate volatility models in terms of their ability to forecast out-of-sample conditional variance ...the ranking is to alternative statistical loss functions which evaluate the ...
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Consistent ranking of multivariate volatility models
... ity models based on statistical loss functions only and focuses on conditions for consistent ranking from a more theoretical ...other models with small statistical loss have economic loss properties ...
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A ranking of VAR and structural models in forecasting
... VAR models are much better than the structural models in ...annual models (SAMM, ARIMA and VAR) for a sample of variables (GDP, Consumption, Investment, Imports and ...annual models and the ...
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Learning Temporal-Dependent Ranking Models
... learns ranking models that fit all training ...a ranking model for each query type ...a ranking model for each query q by using the k-nearest training queries of q measured by the similarity ...
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Ranking social bookmarks using topic models
... ABSTRACT Ranking of resources in social tagging systems is a difficult problem due to the inherent sparsity of the data and the vo- cabulary problems introduced by having a completely unre- stricted ...topic ...
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Re Ranking Models for Spoken Language Understanding
... Future work on the paper research line appears to be very interesting: the assessment of our best models on Media and WOZ+HH as well as other corpora is required. More importantly, the struc- tures that we have ...
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Comparison of Heterogeneous Probability Models for Ranking Data
... median ranking are equal and the ordering is . The mean ranking ranks the words d and c of the modal ranking as ...these models is the median ranking of all students and the ...
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Temporal models for mining, ranking and recommendation in the Web
... entity-aspect ranking models As event entity identification has been well-explored in related work [ KNNN15 , KRM16 , KSLP + ], we do not suggest a specific method, and just assume the use of an appropri- ...
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Learning Transformation Models for Ranking and Survival Analysis
... transformation models is a powerful tool to model data arising from survival studies for different ...) models, see, for example, Dabrowska and Doksum, 1988, Koenker and Geling, 2001, Cheng, Wei, and Ying, ...
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Survey in software Reliability Growth Models: Parameter Estimation and Models Ranking
... growth models (SRGMs) proposed to improve the estimation of software reliability measures such as the number of residual faults, software failure rate, and software ...do ranking for ...reliability ...
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Vector space models for PPDB paraphrase ranking in context
... syntactic models, it corresponds to the target’s direct syntac- tic ...perfect ranking in which all correct substitutes precede all incorrect ones, ...
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Ranking multivariate GARCH models by problem dimension
... (MGARCH) models have appeared in the ...MGARCH models, namely BEKK, DCC, Corrected DCC (cDCC) of Aeilli (2008), CCC of Bollerslev (1990), Exponentially Weighted Moving Average, and covariance shrinking of ...
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Neural Ranking Models for Temporal Dependency Structure Parsing
... We design and build the first neural temporal dependency parser. It utilizes a neural ranking model with minimal feature engineering, and parses time expressions and events in a text into a temporal dependency ...
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Distance matters! Cumulative proximity expansions for ranking documents
... Among the worst performing queries was TREC 1 topic 61: ‘‘Israeli Role in Iran-Contra Affair’’. For some queries, the score of one vital term, in this case ‘‘Israeli’’, cannot compete with the much higher proximity score ...
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Cumulative Progress in Language Models for Information Retrieval
... document models, reducing the retrieval of the most relevant doc- uments into ranking documents by the posterior probability of each document given the ...
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