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Journal articles on the topic 'Rating estimation'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Tan, Zhenhua, Liangliang He, Danke Wu, Qiuyun Chang, and Bin Zhang. "Personalized Standard Deviations Improve the Baseline Estimation of Collaborative Filtering Recommendation." Applied Sciences 10, no. 14 (2020): 4756. http://dx.doi.org/10.3390/app10144756.

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Baseline estimation is a critical component for latent factor-based collaborative filtering (CF) recommendations to obtain baseline predictions by evaluating global deviations for both users and items from personalized ratings. Classical baseline estimation presupposes that the user’s factual rating range is the same as the system’s given rating range. However, from observations on real datasets of movie recommender systems, we found that different users have different actual rating ranges, and users can be classified into four kinds according to their personalized rating criterion, including

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Zhang, Qi, Longbing Cao, Chongyang Shi, and Liang Hu. "Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (2021): 4671–78. http://dx.doi.org/10.1609/aaai.v35i5.16597.

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Most collaborative filtering (CF) models estimate missing ratings with an implicit assumption that the ratings are missing-at-random, which may cause the biased rating estimation and degraded performance since recent deep exploration shows that ratings may likely be missing-not-at-random (MNAR). To debias MNAR rating estimation, we introduce item observability and user selection to depict the generation of MNAR ratings and propose a tripartite CF (TCF) framework to jointly model the triple aspects of rating generation: item observability, user selection, and ratings, and to estimate the MNAR r

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Tysk, Lennart. "Longitudinal Changes in Time Estimation in Affective Disorders: A Preliminary Study." Perceptual and Motor Skills 60, no. 1 (1985): 179–88. http://dx.doi.org/10.2466/pms.1985.60.1.179.

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8 patients with hospital diagnoses of major affective disorder were studied by repeated measurements of time estimation using the three different methods of metronome adjustment, verbal estimation and operative estimation (production) of short time intervals. Retrospective estimations of longer intervals were also studied. The diagnoses were evaluated according to DSM III criteria. The degree of mental disturbance was rated with subscales of the Comprehensive Psychopathological Rating Scale. Earlier findings had indicated that manic patients tend to overestimate short time intervals and that s

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Gong, Wei, Yanqiong Xu, and Yufei Liu. "Field attenuation characteristics of hearing protectors and differences in estimating their attenuation with different methods." Journal of the Acoustical Society of America 151, no. 6 (2022): 3979–92. http://dx.doi.org/10.1121/10.0011512.

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This study investigated the field attenuation characteristics of hearing protection devices (HPDs), differences in estimating the protection provided by HPDs with different rating methods, and suggested potential solutions on proper use of attenuation ratings to estimate the protection provided by HPDs. The binaural octave-band personal attenuation values obtained from 1583 field users with 3985 fits on seven HPDs were used to compute the field-rating values as described in the International Organization for Standardization standard ISO 4869-2:2018, and the octave-band noise reduction (OB NR)

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Jiang, Yixiao. "Semiparametric Estimation of a Corporate Bond Rating Model." Econometrics 9, no. 2 (2021): 23. http://dx.doi.org/10.3390/econometrics9020023.

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This paper investigates the incentive of credit rating agencies (CRAs) to bias ratings using a semiparametric, ordered-response model. The proposed model explicitly takes conflicts of interest into account and allows the ratings to depend flexibly on risk attributes through a semiparametric index structure. Asymptotic normality for the estimator is derived after using several bias correction techniques. Using Moody’s rating data from 2001 to 2016, I found that firms related to Moody’s shareholders were more likely to receive better ratings. Such favorable treatments were more pronounced in inv

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Herron, Michael C. "Interest Group Ratings and Regression Inconsistency." Political Analysis 9, no. 3 (2001): 260–74. http://dx.doi.org/10.1093/polana/9.3.260.

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This article uses spatial voting theory to analyze the properties of linear regressions that employ interest group ratings as measures of legislator policy preferences. Such regressions, in general, yield inconsistent results. In particular, least-squares estimation of a bivariate regression which contains an interest group rating as a regressor produces an inflated slope estimate. Instrumenting for the rating with a second rating, as proposed by Brunell et al. (1999), does not fix this problem, and this is because errors in both sets of ratings are correlated. Finally, estimation of a trivari

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Kravets, Tatyana. "RATING ESTIMATIONS OF THE ENTERPRISES: PROBLEMS AND MODELING." Ekonomika 88 (January 1, 2009): 83–89. http://dx.doi.org/10.15388/ekon.2009.0.1034.

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In modern times improvement of the estimation techniques related to the productivity of economic objects y is topical. The article deals with the problems of construction of the rating systems for the estimation of enterprises not related to the financial sector of the economy according to the results of their activity for a calendar year. yea. In order to construct the aggregated indicators for the estimation of the efficiency of the enterprise activity it proposes to unite thepossibilities of the classical financial analysis and the methods of the multidimensional statistical analysis. The c

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Abid, Amira, Fathi Abid, and Bilel Kaffel. "CDS-based implied probability of default estimation." Journal of Risk Finance 21, no. 4 (2020): 399–422. http://dx.doi.org/10.1108/jrf-05-2019-0079.

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Purpose This study aims to shed more light on the relationship between probability of default, investment horizons and rating classes to make decision-making processes more efficient. Design/methodology/approach Based on credit default swaps (CDS) spreads, a methodology is implemented to determine the implied default probability and the implied rating, and then to estimate the term structure of the market-implied default probability and the transition matrix of implied rating. The term structure estimation in discrete time is conducted with the Nelson and Siegel model and in continuous time wi

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Wang, Jingyan, and Nihar B. Shah. "Ranking and Rating Rankings and Ratings." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 09 (2020): 13704–7. http://dx.doi.org/10.1609/aaai.v34i09.7126.

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Cardinal scores collected from people are well known to suffer from miscalibrations. A popular approach to address this issue is to assume simplistic models of miscalibration (such as linear biases) to de-bias the scores. This approach, however, often fares poorly because people's miscalibrations are typically far more complex and not well understood. It is widely believed that in the absence of simplifying assumptions on the miscalibration, the only useful information in practice from the cardinal scores is the induced ranking. In this paper we address the fundamental question of whether this

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Долгов, Олександр Іванович, and Олена Олександрівна Прокопенко. "Mapping indexes in rating estimation." Technology audit and production reserves 1, no. 5(15) (2014): 34. http://dx.doi.org/10.15587/2312-8372.2014.21735.

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Kułakowski, Konrad, Katarzyna Grobler-Dębska, and Jarosław Wąs. "Heuristic rating estimation: geometric approach." Journal of Global Optimization 62, no. 3 (2014): 529–43. http://dx.doi.org/10.1007/s10898-014-0253-4.

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Kędzior, Anna, and Konrad Kułakowski. "Multiple-Criteria Heuristic Rating Estimation." Mathematics 11, no. 13 (2023): 2806. http://dx.doi.org/10.3390/math11132806.

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One of the most widespread multi-criteria decision-making methods is the Analytic Hierarchy Process (AHP). AHP successfully combines the pairwise comparisons method and the hierarchical approach. It allows the decision-maker to set priorities for all ranked alternatives. But what if, for some of them, their ranking value is known (e.g., it can be determined differently)? The Heuristic Rating Estimation (HRE) method proposed in 2014 tried to bring the answer to this question. However, the considerations were limited to a model only considering a few criteria. This work analyzes how HRE can be u

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Arabkhedri, M., F. S. Lai, I. Noor-Akma, and M. K. Mohamad-Roslan. "An application of adaptive cluster sampling for estimating total suspended sediment load." Hydrology Research 41, no. 1 (2009): 63–73. http://dx.doi.org/10.2166/nh.2010.113.

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Suspended sediment transport in river for a particular period is a timescale finite population. This population shows natural aggregation tendencies in sediment concentration particularly during floods. Adaptive cluster sampling (ACS) can be potentially conducted for sampling from this rare clustered population and estimating total load. To illustrate the performance of ACS in sediment estimation, a comparative study was carried out in the Gorgan-Rood River, Iran, with around a 5 year daily concentration record. The total sediment loads estimated by ACS were statistically compared to the obser

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Takama, Yasufumi, and Yuki Muto. "Profile Generation for TV Program Recommendation Based on Utterance Analysis." Journal of Advanced Computational Intelligence and Intelligent Informatics 13, no. 2 (2009): 86–90. http://dx.doi.org/10.20965/jaciii.2009.p0086.

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This paper proposes a method for generating user profile that is to be used for TV program recommendation. The proposed method does not estimate user's interest in a TV program only based on its watching time as most of existing methods do, but also based on user's utterances by applying sentiment analysis. Three kinds of scores are calculated for each watched program, based on which fuzzy inference is performed to estimate its rating. After the estimation, profile structure is obtained by generating category and subcategory layers. This paper mainly focuses on estimation of users' ratings on

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Saeed, Muhammad Bilal, and Arshad Hassan. "COUNTRY RATING AND STOCK MARKET VOLATILITY: AN EMPIRICAL ESTIMATION FOR KARACHI STOCK EXCHANGE." Jinnah Business Review 02, no. 01 (2014): 07–14. http://dx.doi.org/10.53369/aoqh9845.

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This study is aimed to explore the relationship between country rating and volatility of Karachi Stock Exchange for the period 1999 to 2012. This study employs daily data of country ratings and stock market returns to investigate influence of rating on volatility of market. Univariate Asymmetric GARCH model is used to explore the relationship and results reveal that country rating has a significant role in explaining volatility in Karachi Stock Exchange.

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Xie, Hong, Yongkun Li, and John C. S. Lui. "Understanding Persuasion Cascades in Online Product Rating Systems." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5490–97. http://dx.doi.org/10.1609/aaai.v33i01.33015490.

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Online product rating systems have become an indispensable component for numerous web services such as Amazon, eBay, Google play store and TripAdvisor. One functionality of such systems is to uncover the product quality via product ratings (or reviews) contributed by consumers. However, a well-known psychological phenomenon called “messagebased persuasion” lead to “biased” product ratings in a cascading manner (we call this the persuasion cascade). This paper investigates: (1) How does the persuasion cascade influence the product quality estimation accuracy? (2) Given a real-world product rati

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McMillan, H. K., and I. K. Westerberg. "Rating curve estimation under epistemic uncertainty." Hydrological Processes 29, no. 7 (2015): 1873–82. http://dx.doi.org/10.1002/hyp.10419.

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Schliesser, Herbert F. "Psychological Scaling of Speech by Students in Training Compared to That by Experienced Speech-Language Pathologists." Perceptual and Motor Skills 61, no. 3_suppl (1985): 1299–302. http://dx.doi.org/10.2466/pms.1985.61.3f.1299.

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Direct magnitude estimation was the psychological rating technique for obtaining ratings of severity of the speech of 16 cerebral palsied dysarthric speakers. The ratings of students in training (inexperienced) were compared to those of experienced speech-language pathologists. For this method and this communication disorder, students' ratings were comparable to those of the professionals.

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Livingston, Samuel A. "An Interesting Problem in the Estimation of Scoring Reliability." Journal of Educational and Behavioral Statistics 29, no. 3 (2004): 333–41. http://dx.doi.org/10.3102/10769986029003333.

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A performance assessment consisting of 10 separate exercises was scored with a randomized scoring procedure. All responses to each exercise were rated once; in addition, a randomly selected subset of the responses to each exercise received an independent second rating. Each second rating was averaged with the corresponding first rating before the scores were computed. This article presents a method for estimating the scoring reliability (interrater reliability) coefficient and the standard error of scoring for the resulting scores. The report concludes with some numerical examples showing how

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Gharari, Shervan, Paul H. Whitfield, Alain Pietroniro, Jim Freer, Hongli Liu, and Martyn P. Clark. "Exploring the provenance of information across Canadian hydrometric stations: implications for discharge estimation and uncertainty quantification." Hydrology and Earth System Sciences 28, no. 19 (2024): 4383–405. http://dx.doi.org/10.5194/hess-28-4383-2024.

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Abstract. Accurate discharge values form the foundation of effective water resource planning and management. Unfortunately, these data are often perceived as absolute and deterministic by users, modelers, and decision-makers, despite the inherent subjectivity and uncertainty in the data preparation processes. This study is undertaken to examine the discharge estimation methods used by the Water Survey of Canada (WSC) and their impacts on reported discharge values. First, we explain the hydrometric station network, essential terminologies, and fundamental concepts of rating curves. Subsequently

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Xie, Hong, Mingze Zhong, Yongkun Li, and John C. S. Lui. "Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference." ACM Transactions on Knowledge Discovery from Data 15, no. 3 (2021): 1–29. http://dx.doi.org/10.1145/3440887.

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Online product rating systems have become an indispensable component for numerous web services such as Amazon, eBay, Google Play Store, and TripAdvisor. One functionality of such systems is to uncover the product quality via product ratings (or reviews) contributed by consumers. However, a well-known psychological phenomenon called “ message-based persuasion ” lead to “ biased ” product ratings in a cascading manner (we call this the persuasion cascade ). This article investigates: (1) How does the persuasion cascade influence the product quality estimation accuracy? (2) Given a real-world pro

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22

Gupta, Shivani, Ashay Kadam, and Neeraj Bhandari. "NURSING HOMES’ FIVE-STAR QUALITY RATING SYSTEM: FORECASTING THE FUTURE STABILITY AND VOLATILITY." Innovation in Aging 7, Supplement_1 (2023): 720–21. http://dx.doi.org/10.1093/geroni/igad104.2335.

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Abstract The utilization of publicly reported quality measures such as nursing homes’ five-star quality rating system to hold providers accountable for their quality of care has increased over the years. Therefore, nursing homes have invested significant resources into maintaining or improving the ratings awarded to them by CMS. This study utilizes statistical models to analyze the past rating histories to predict future evolution of ratings of nursing homes. Data on all U.S. nursing homes for the years 2017 - 2021 was derived from CMS Nursing Home Compare. Primary variable represents the over

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Belyanova, E., and S. Nikolaenko. "Impact of Corruption on Business Development: Empirical Estimates." Voprosy Ekonomiki, no. 9 (September 20, 2013): 91–105. http://dx.doi.org/10.32609/0042-8736-2013-9-91-105.

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The paper considers the relationship of corruption and domestic business environment. The authors propose a method of quantitative estimation of the impact of corruption on the business climate through the use of international ratings. The quantitative estimations obtained allow to construct an alternative rating of business environment, free of the influence of corruption, and estimate, with its help, the comparative advantages of Russia as of late 2012. In addition the paper determines the limits of possible improvement of the business climate in Russia on the assumption that the effectivene

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Oral, Muhittin, Ossama Kettani, Jean-Claude Cosset, and Mohamed Daouas. "An estimation model for country risk rating." International Journal of Forecasting 8, no. 4 (1992): 583–93. http://dx.doi.org/10.1016/0169-2070(92)90068-k.

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Körner, Finn Marten, and Hans-Michael Trautwein. "Rating sovereign debt in a monetary union – original sin by transnational governance." Journal of Risk Finance 16, no. 3 (2015): 253–83. http://dx.doi.org/10.1108/jrf-11-2014-0171.

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Purpose – The purpose of this paper is to test the hypothesis that major credit rating agencies (CRAs) have been inconsistent in assessing the implications of monetary union membership for sovereign risks. It is frequently argued that CRAs have acted procyclically in their rating of sovereign debt in the European Monetary Union (EMU), underestimating sovereign risk in the early years and over-rating the lack of national monetary sovereignty since the onset of the Eurozone debt crisis. Yet, there is little direct evidence for this so far. While CRAs are quite explicit about their risk assessmen

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Permyakov, O. A., N. I. Zelenkova, and L. V. Hryhorenko. "STUDENT KNOWLEDGE ASSESSMENT RATING SYSTEM." Educational Dimension 17 (December 27, 2007): 423–29. http://dx.doi.org/10.31812/educdim.6409.

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In article theoretical questions of rating system of an estimation of knowledge ofpupils are examined: development of the conceptual device, main principles, functions, kinds and forms, plus and the minuses inherent given system.

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Chyad, Aqeed Mohsin, and Osama Abudayyeh. "Deterioration Prediction Modelling and Inspection Schedule Estimation for Concrete Bridge Decks." Journal of Civil Engineering and Construction 9, no. 2 (2020): 63–73. http://dx.doi.org/10.32732/jcec.2020.9.2.63.

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Accurate and reliable deterioration rate estimates for concrete bridge decks are an important part of the overall bridge condition assessment. The main objective of this paper is to determine the time in condition ratings (TICRs) of concrete bridge decks and assess the impact of average daily traffic (ADT), age, and deck area on the bridge deck condition. Condition ratings of bridge decks over 24 years for Michigan state were collected from the National Bridge Inventory (NBI) data. The Anderson-Darling statistical test was used to evaluate and rank five practical probability distribution funct

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Hu, Kuang-Hua, Shih-Kuei Lin, Yung-Kang Ching, and Ming-Chin Hung. "Goodness-of-Fit of Logistic Regression of the Default Rate on GDP Growth Rate and on CDX Indices." Mathematics 9, no. 16 (2021): 1930. http://dx.doi.org/10.3390/math9161930.

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Under the Basel II and Basel III agreements, the probability of default (PD) is a key parameter used in calculating expected credit loss (ECL), which is typically defined as: PD × Loss Given Default × Exposure at Default. In practice or in regulatory requirements, gross domestic product (GDP) has been adopted in the PD estimation model. Due to the problem of excessive fluctuation and highly volatile ECL estimation, models that produce satisfactory PD and thus ECL estimations in the context of existing risk management techniques are lacking. In this study, we explore the usage of the credit def

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Masline, Philip J., and David W. Biers. "An Examination of Projective versus Post-Task Subjective Workload Ratings for Three Psychometric Scaling Techniques." Proceedings of the Human Factors Society Annual Meeting 31, no. 1 (1987): 77–80. http://dx.doi.org/10.1177/154193128703100117.

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The validity of three projective workload techniques-magnitude estimation, equal appearing intervals, and the subjective workload assessment technique (SWAT)- was examined using a simple laboratory task. Ratings of workload by subjects who received only written and verbal descriptions of the task (projective group) were compared to ratings from subjects who performed the task (experimental group). Results indicated that, for all rating scale techniques, subjects were able to validly project ratings of workload. Magnitude estimation possessed a higher degree of correspondence between both group

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Mansanarez, Valentin, Ida K. Westerberg, Steve W. Lyon, and Norris Lam. "Estimating uncertainties in hydraulicallymodelled rating curves for discharge time series assessment." E3S Web of Conferences 40 (2018): 06013. http://dx.doi.org/10.1051/e3sconf/20184006013.

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Establishing a reliable stage-discharge (SD) rating curve for calculating discharge at a hydrological gauging station normally takes years of data collection. Estimation of high flows is particularly difficult as they occur rarely and are often difficult to gauge in practice. At a minimum, hydraulicallymodelled rating curves could be derived with as few as two concurrent SD and water-surface slope measurements at different flow conditions. This means that a reliable rating curve can, potentially, be developed much faster via hydraulic modelling than using a traditional rating curve approach ba

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Müller, H., and H. J. Möller. "Methodological considerations and empirical data to the onset of efficacy of antidepressants and to the prediction of therapy outcome." European Psychiatry 12, no. 4 (1997): 177–82. http://dx.doi.org/10.1016/s0924-9338(97)89101-8.

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SummaryIs the onset of efficacy of antidepressants always delayed and which early clinical signs predict final outcome of therapy ? Our analyses show that strict response criteria produce necessarily later onset estimations rather than less strict ones. In two large-scale clinical samples we compared different estimation methods of the day of onset. Patients' direct ratings produced the earliest onset estimations. Because of the strong dependency of onset estimations on measurement methods, we argue that it is still open to debate, in which degree drug response is delayed. Concerning early cli

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Mustafa, Siti Aisyah, Safwan Mohd Nor, Zairihan Abdul Halim, and Nur Haiza Muhammad Zawawi. "Estimating Short-term Default Probabilities Conditional to Economic Conditions: Applications of Regularisation Approach and Economic Adjustment Coefficients." Business Systems Research Journal 16, no. 1 (2025): 178–97. https://doi.org/10.2478/bsrj-2025-0009.

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Abstract Background Corporate bonds are crucial for corporations as they provide a flexible and often less costly alternative to equity financing. However, rising corporate debt levels, along with rating downgrades and economic uncertainty, can cause corporations to face financial distress, exacerbating the probability of default. Objectives The purpose of this paper is to estimate bond default probabilities conditional on fluctuations in economic growth over short-term frequencies using inputs from rating transitions. Methods/Approach The estimation is based on a Markov chain framework and th

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Vonlanthen, Joël. "ESG Ratings and Real Estate Key Metrics: A Case Study." Real Estate 1, no. 3 (2024): 267–92. https://doi.org/10.3390/realestate1030014.

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This study examines whether and through which channels ESG ratings influence key metrics in the real estate industry. Focusing on Switzerland as a case study and concentrating on commercial real estate investors and their income properties, we utilize unique datasets and employ an OLS post-LASSO estimation procedure to identify and quantify the associations between ESG ratings and four key metrics: appraisal-based and transaction-based discount rates, rental incomes, and vacancy rates. Our results demonstrate that ESG ratings maintain a significant association with all four key metrics even af

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Kim, Lee, Chang, et al. "Daily River Discharge Estimation Using Multi-Mission Radar Altimetry Data and Ensemble Learning Regression in the Lower Mekong River Basin." Remote Sensing 11, no. 22 (2019): 2684. http://dx.doi.org/10.3390/rs11222684.

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Estimating river discharge (Q) is critical for ecosystems and water resource management. Traditionally, estimating Q has depended on a single rating curve or the Manning equation. In contrast to the single rating curve, several rating curves at different locations have been linearly combined in an ensemble learning regression method to estimate Q (ELQ) at the Brazzaville gauge station in the central Congo River in a previous study. In this study, we further tested the proposed ELQ and apply it to the Lower Mekong River Basin (LMRB) with three locations: Stung Treng, Kratie, and Tan Chau. Two m

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Krajewski, Adam, Kazimierz Banasik, and Anna E. Sikorska. "Stormflow and suspended sediment routing through a small detention pond with uncertain discharge rating curves." Hydrology Research 50, no. 4 (2018): 1177–88. http://dx.doi.org/10.2166/nh.2018.131.

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Abstract Ratings curves are commonly used for computing discharge time series from recorded water stages or for hydrograph and sediment graph routing through detention ponds. Numerous studies have demonstrated that these rating curves are often linked with significant uncertainty. Nevertheless, the uncertainty related to the use of these rating curves in sediment estimates has not been investigated so far. Hence, in this work, we assess the impact of using such uncertain discharge rating curves on the estimation of the pond outflow (discharge, sediment concentration and load) from a small dete

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Aleadelat, Waleed, Cameron H. G. Wright, and Khaled Ksaibati. "Estimation of Gravel Roads Ride Quality Through an Android-Based Smartphone." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 40 (2018): 14–21. http://dx.doi.org/10.1177/0361198118758693.

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This study demonstrated the ability of smartphone sensors in evaluating gravel roads conditions. Seventy gravel roads with various conditions, surface materials, and geometric features were included in this study. The analysis was based on signal demodulation and wavelet transformation to reduce the effect of many external factors (i.e., speed dependency, engine vibrations, and suspension system) that may affect the obtained measurements. It was found that the acquired signals from a smartphone accelerometer can reflect the actual conditions of a gravel road. In addition, the location and the

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Ferrari, F., T. Apuani, and G. P. Giani. "Rock Mass Rating spatial estimation by geostatistical analysis." International Journal of Rock Mechanics and Mining Sciences 70 (September 2014): 162–76. http://dx.doi.org/10.1016/j.ijrmms.2014.04.016.

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Hong, Chang-Ho, Hee-Hwan Ryu, Tae-Min Oh, and Gye-Chun Cho. "Probabilistic Rock Mass Rating Estimation Using Electrical Resistivity." KSCE Journal of Civil Engineering 24, no. 7 (2020): 2224–31. http://dx.doi.org/10.1007/s12205-020-1315-4.

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Permyakov, A. A., and N. I. Zelenkova. "MODULAR RATING SYSTEM OF ASSESSMENT STUDENT KNOWLEDGE." Educational Dimension 15 (May 27, 2022): 124–29. http://dx.doi.org/10.31812/educdim.5846.

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Yuksel, Cem. "Skill-Based Matchmaking for Competitive Two-Player Games." Proceedings of the ACM on Computer Graphics and Interactive Techniques 7, no. 1 (2024): 1–19. http://dx.doi.org/10.1145/3651303.

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Skill-based matchmaking is a crucial component of competitive multiplayer games and it is directly tied to how the players would enjoy the game. We present a simple matchmaking algorithm that aims to achieve a target win rate for all players, making long win/loss streaks less probable. It is based on the estimated skill levels of players. Therefore, we also present a rating estimation for players that does not require any game-specific information and purely relies on game outcomes. Our evaluation shows that our methods are effective in estimating a player's rating, responding to changes in ra

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О., Ю. Ступак. "РЕЙТИНГОВЕ ОЦІНЮВАННЯ ДІЯЛЬНОСТІ НАУКОВО-ПЕДАГОГІЧНИХ ПРАЦІВНИКІВ ЯК ПОКАЗНИК ЯКОСТІ ОСВІТНІХ ПОСЛУГ". Засоби навчальної та науково-дослідної роботи, № 46 (29 червня 2017): 101–8. https://doi.org/10.5281/zenodo.820813.

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The article grounds the rating estimation system of scientific activity of higher education institution workers. There have been defined that the purpose of the rating estimation and analysis is the work quality estimation of every educational research worker and departments in general, improvement of the structural subdivisions management system of the higher education institution, and creating conditions of the dynamic growth on the basis of generalizing and full application of the available staff potential. There have been analyzed requirements as for calculating the rating introduced in th

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Lapshin, Viktor, and Anton Markov. "MCMC-based credit rating aggregation algorithm to tackle data insufficiency." Applied Econometrics 68, no. 4 (2022): 50–72. http://dx.doi.org/10.22394/1993-7601-2022-68-50-72.

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This paper investigates how credit rating aggregation might lead to a more efficient estimation of key portfolio risk management metrics: expected credit losses (ECL) and risk‐weighted assets (RWA). The proposed technique for credit rating aggregation is based on the Markov Chain Monte‐Carlo methodology and leads to a statistically smaller variance of ECL and RWA than the naïve and distribution‐based alternatives. This conclusion holds for three public datasets and four simulated studies. The paper results might be helpful for portfolios that suffer from data insufficiency or rely on external

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Chuvieco, Emilio, Inmaculada Aguado, and Alexandros P. Dimitrakopoulos. "Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment." Canadian Journal of Forest Research 34, no. 11 (2004): 2284–93. http://dx.doi.org/10.1139/x04-101.

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Fuel moisture content (FMC) estimation is a critical part of any fire danger rating system, since fuel water status is determinant in fire ignition and fire propagation. However, FMC alone does not provide a comprehensive assessment of fire danger, since other factors related to fire ignition (lightning, human factors) or propagation (wind, slope) also need to be taken into account. The problem in integrating all these factors is finding a common scale of danger rating that will make it possible to derive synthetic indices. This paper reviews the importance of FMC in fire ignition and fire pro

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Astuti, Ani Dwi, Tita Karlita, and Rengga Asmara. "Yoga Pose Rating using Pose Estimation and Cosine Similarity." Jurnal Ilmu Komputer dan Informasi 16, no. 2 (2023): 115–24. http://dx.doi.org/10.21609/jiki.v16i2.1151.

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One type of exercise that many people do today is yoga. However, doing yoga yourself without an instructor carries a risk of injury if not done correctly. This research proposes an application in the form of a website that can assess the accuracy of a person's yoga position, by using ResNet for pose estimation and cosine similarity for calculating the similarity of positions. The application will recognize a person's body pose and then compare it with the poses of professionals so that the accuracy of their position can be assessed. There are three types of datasets used, the first is the COCO

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D'Rosario, Michael, and Calvin Hsieh. "Predicting Credit Rating Migration Employing Neural Network Models." International Journal of Strategic Decision Sciences 9, no. 4 (2018): 70–85. http://dx.doi.org/10.4018/ijsds.2018100105.

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Credit rating migration ranks amongst the most pertinent issues concerning institutional lenders and investors alike. There are a number of studies that have employed both parametric and non-parametric methodologies to forecast credit rating migration, employing machine learning methods; and notably, artificial intelligence methods becoming increasingly popular. The present study extends upon research within the extant literature employing a novel estimation method, a neural network modelling technique, herewith the MPANN (multi-layer neural network). Consistent with the extant literature, the

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Sanguino, Perez Juan Camilo, Ruben Francisco Manrique, Olga Mariño, Vásquez Mario Linares, and Nicolás Cardozo. "A course hybrid recommender system for limited information scenarios." Journal of Educational Data Mining 14, no. 3 (2022): 162–88. https://doi.org/10.5281/zenodo.7304829.

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Recommender systems in educational contexts have proven to be effective in identifying learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In this article, we present the design of a hybrid course recommendation system for an online learning platform. The proposed hybrid system articulates the recommendation carried out by collaborative and content-based filter strategies. For the collaborative filtering recommender, we address the challenge

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Pomortsev, Gennadii S., and Alyona А. Astakhova. "Identification of factors for assessing credit rating of non-financial companies." Russian Management Journal 20, no. 3 (2022): 361–84. http://dx.doi.org/10.21638/spbu18.2022.303.

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Goal: an improvement of the quality and accuracy of credit rating estimation, to add non-financial companies’ characteristics to the assessment, and to compare the importance of factors for different industries and countries. Methodology: the use of exploratory factor analysis and ordered logistic regression models. The study is based on publicly available data on non-financial companies from different industries and countries for the period from 2007 to 2021. Findings: a group of financial variables is the most significant in credit risk assessment for companies from developed countries, for

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Khambalkar, V. P., and S. R. Kalbande. "Estimation of Wind Power Potential and Turbine Rating Selection." International Journal of Current Microbiology and Applied Sciences 6, no. 2 (2017): 1204–13. http://dx.doi.org/10.20546/ijcmas.2017.602.137.

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S.R. Kalbande, V. P. Khambalkar. "Estimation of Wind Power Potential and Turbine Rating Selection." International Journal of Current Microbiology and Applied Sciences 6, no. 3 (2017): 1182–87. http://dx.doi.org/10.20546/ijcmas.2017.603.137.

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Kułakowski, Konrad. "Heuristic Rating Estimation Approach to The Pairwise Comparisons Method." Fundamenta Informaticae 133, no. 4 (2014): 367–86. http://dx.doi.org/10.3233/fi-2014-1081.

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