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Predicting Entry-Level Categories

Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
2015 International Journal of Computer Vision  
Results for category mapping and entry-level category prediction for images show promise for producing more natural human-like labels.  ...  In this paper we extend these ideas to study entry-level categories at a larger scale and to learn models that can automatically predict entrylevel categories for images.  ...  Evaluating Image Entry-Level Predictions for Sentence Retrieval Entry-level categories are also the natural categories that people use in casual language.  ... 
doi:10.1007/s11263-015-0815-z fatcat:mexsullvebgebpvrpawmkc62ye

Learning to name objects

Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
2016 Communications of the ACM  
We extend these seminal ideas to study human naming at large scale and to learn computational models for predicting entry-level categories.  ...  This goal is related to the concept of entry-level categories first introduced by psychologists in the 1970s and 1980s.  ...  Evaluating image entry-level predictions We measure the accuracy of our proposed entry-level category image prediction methods by evaluating how well we can predict nouns freely associated with images  ... 
doi:10.1145/2885252 fatcat:lucvnvy4qndznghw3hzhjgqzzy

From Large Scale Image Categorization to Entry-Level Categories

Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
2013 2013 IEEE International Conference on Computer Vision  
In this paper we study entrylevel categories at a large scale and learn the first models for predicting entry-level categories for images.  ...  Entry level categories -the labels people will use to name an object -were originally defined and studied by psychologists in the 1980s.  ...  Evaluating Image Entry-Level Predictions We measure the accuracy of our proposed entry-level category prediction methods by evaluating how well we can predict nouns freely associated with images by users  ... 
doi:10.1109/iccv.2013.344 dblp:conf/iccv/OrdonezDCBB13 fatcat:hyj3rcbp65cqhis5xgmxz5qv4m

FABLE: A Semi-Supervised Prescription Information Extraction System

Carson Tao, Michele Filannino, Özlem Uzuner
2018 AMIA Annual Symposium Proceedings  
performance and significantly improving on nearly all entity categories.  ...  When evaluated against the official benchmark set from the 2009 i2b2 Shared Task and Workshop on Medication Extraction, FABLE achieves a horizontal phrase-level F1-measure of 0.878, giving state-of-the-art  ...  Confidence rates indicate the level of trust the base learner has in predicted sequences.  ... 
pmid:30815199 pmcid:PMC6371278 fatcat:ycwiiuwa4bddbdgnvdev36w6um

Market Share Rewards to Pioneering Brands: An Empirical Analysis and Strategic Implications

Glen L. Urban, Theresa Carter, Steven Gaskin, Zofia Mucha
1986 Management science  
Entry (L) a4 0.04 0.6 *Values significant at 1% level.  ...  were in the fitting exercise, but predictions were made on five new entrants in these two categories  ...  Prediction Results Order of E n t r y ( E n ) Order of E n t r y ( E n ) KEY ------------is Prediction is Actual Other Categories in Prediction Sample (Plots available from authors or Marzapement  ... 
doi:10.1287/mnsc.32.6.645 fatcat:rluojsvogragrctye3uco5v7xe

Entry Qualifications of Students as Predictors of Academic Performance in Various Degree Programs in Distance Education setting in Pakistan

Nauman A. Abdullah, Munawar S. Mirza
2018 Open Praxis  
The results showed significant differences in the predictions and their implications are useful for policy makers and relevant departments of the university as well as for other distance learning educational  ...  It was of interest to the researchers to study the entry qualifications of students i.e. the admission criteria, as predictor of their academic performance in various degree programs at VU.  ...  To what extent does entry qualification score of different levels predict the academic performance of students in various degree programs at VU?  ... 
doi:10.5944/openpraxis.10.3.848 fatcat:xetam226mfgvxpaynrrr2kj2x4

Modeling Longitudinal Ordinal Response Variables for Educational Data

Ann A. O'Connell, Heather Levitt Doucette
2007 Journal of Modern Applied Statistical Methods  
Results showed that gender, number of family risk characteristics, and age at kindergarten entry were associated with initial reading proficiency (0 to 5 scale).  ...  Three issues are highlighted: building multilevel ordinal models, interpretation of multilevel effects; and determination of predicted probabilities based on results of the multilevel proportional odds  ...  For this random coefficients model containing no child-level predictor variables, 15% of children would be predicted to be at or below category 0 at baseline.  ... 
doi:10.22237/jmasm/1177993620 fatcat:6m42nmhnmvhwvhnbzs66gr3bme

Deriving Lipid Classification Based on Molecular Formulas

Joshua M. Mitchell, Robert M. Flight, Hunter N.B. Moseley
2020 Metabolites  
Our methods achieve high average predictive accuracy (>90%) and precision (>83%) across all eight of the lipid categories in the LIPIDMAPS database.  ...  Using a Random Forest machine learning approach, we developed a method that can predict lipid category and class from SMIRFE non-adducted molecular formula assignments.  ...  The LIPIDMAPS database is the largest lipid-specific repository of metabolite structures and every entry in LIPIDMAPS is assigned to both a high-level lipid category and a lower-level lipid class.  ... 
doi:10.3390/metabo10030122 pmid:32214009 pmcid:PMC7143220 fatcat:kplktd7aejgado6vy4ah6lzuai

The development of a pre-enrolment screening tool to inform targeted support services in the first year in health sciences

Jesse Kokaua, Faafetai Sopoaga, Tony Zaharic, Jacques Van der Meer
2014 International Journal of the First Year in Higher Education  
The aim of this paper is to describe the development of an instrument which predicts the performance of prospective students in the first year at university.  ...  Tinto argues that students' pre-entry attributes are major contributors to success in first year of university study.  ...  Sensitivity, specificity, positive predictive values, negative predictive values were calculated to check the performance of the three level EAPI groups.  ... 
doi:10.5204/intjfyhe.v5i1.205 fatcat:2cp5ntdic5gpvennxnyvxuwe2q

Page 267 of Journal of Family Psychology Vol. 3, Issue 3 [page]

1990 Journal of Family Psychology  
The low-level conversational behaviors exemplified by the entry-exit categories are more basic in conveying and  ...  For both parents the entry-exit categories are highly negatively correlated with pro- ductivity.’  ... 

Predicting field of job entry from expressed vocational choice and certainty level

Richard J. Noeth, David A. Jepsen
1981 Journal of Counseling Psychology  
Counselors can also infer from this study some employer reqents uirem for entry into broad general groupings. (MEK) Predicting Field of Job Entry fron Expressed Vocational Choice and Certainty Le;.  ...  Each choice level was significantly "different from the others. Implications for counseling and research activities" based on expressed choice and certainty level, are provided.  ...  Thus comparable'agreement indices can be estimated for predictions by Sex groups and when subjects are grouped by level of choice certainty.  ... 
doi:10.1037/0022-0167.28.1.22 fatcat:xsxsajuqh5cjtj3frv74oxpp4a

State entry regulation and home health agency quality ratings

Robert L. Ohsfeldt, Pengxiang Li
2018 Journal of Regulatory Economics  
The HHA-level data were augmented with county-level area characteristics for each HHA in the CMS database.  ...  An ordered logit model was used to estimate the association between state CON restrictions and Low, Medium, and High quality categories, adjusted for HHA and area characteristics.  ...  To address this issue, we used the estimated coefficients in Table 3 to generate predicted quality levels for different combinations of entry restrictions.  ... 
doi:10.1007/s11149-018-9351-4 fatcat:tduh7v7km5eu7dsf3vhi5dv5ey

Acute Toxicity-Supported Chronic Toxicity Prediction: A k-Nearest Neighbor Coupled Read-Across Strategy

Swapnil Chavan, Ran Friedman, Ian Nicholls
2015 International Journal of Molecular Sciences  
These categories were used to perform the read-across study for prediction of the chronic toxicity, i.e., Lowest Observed Effect Levels (LOEL).  ...  An individual category was formed for each of the chemicals by extracting its corresponding k-analogs that were identified by k-NN classification.  ...  This explains why this category fails to predict LOEL of entry 3.  ... 
doi:10.3390/ijms160511659 pmid:26006240 pmcid:PMC4463722 fatcat:oi6q7akmirgp3jsyfzpzx2txzm

Determinants of Fetal Growth at Different Periods of Pregnancies Complicated by Gestational Diabetes Mellitus or Impaired Glucose Tolerance

U. M. Schaefer-Graf, S. L. Kjos, O. Kilavuz, A. Plagemann, M. Brauer, J. W. Dudenhausen, K. Vetter
2003 Diabetes Care  
LGA in a previous pregnancy, (odds ratio [OR] 3.6; 95% CI 1.8 -7.3) and prepregnancy obesity (BMI Ն30 kg/m 2 ; 2.1; 1.2-3.7) independently predicted AC Ն90th percentile at entry.  ...  Data obtained at entry were also analyzed separately irrespective of the GA.  ...  At entry, independent predictors for an AC Ն90th percentile were a history of LGA and BMI Ն30 kg/m 2 , but at the Ͻ24 GA examination, none of the measured parameters were predictive.  ... 
doi:10.2337/diacare.26.1.193 pmid:12502680 fatcat:su3yvcpyszcxrodtgiqcktqohi

Annotation inconsistencies beyond sequence similarity-based function prediction – phylogeny and genome structure

Vasilis J. Promponas, Ioannis Iliopoulos, Christos A. Ouzounis
2015 Standards in Genomic Sciences  
We outline three categories of error propagation in databases by providing striking examplesat various levels of appreciation by the community from traditional to emerging, thus raising awareness for future  ...  Acknowledgements Earlier parts of this work have been presented at the Automated Function Prediction SIG at ISMB 2013.  ...  The authors would like to thank the organizers of the SIG series 'Automated Function Prediction' at ISMB and attendees at AFP2013, and two anonymous reviewers for useful comments.  ... 
doi:10.1186/s40793-015-0101-2 pmid:26594309 pmcid:PMC4653902 fatcat:kdqhxoheqzanfhkjrphnnkpj2u
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