Filters








538 Hits in 3.8 sec

Axiomatic Analysis for Improving the Log-Logistic Feedback Model

Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Pseudo-relevance feedback (PRF) has been proven to be an effective query expansion strategy to improve retrieval performance. Several PRF methods have so far been proposed for many retrieval models.  ...  We further analyze the log-logistic feedback model and show that it does not satisfy these two constraints as well as the previously proposed "relevance effect" constraint.  ...  Modifying the Log-Logistic Model The feedback weight of each term w in the log-logistic feedback model [1] is computed as follows: F W (w) = 1 |F | D∈F F W (w, D) = 1 |F | D∈F log( t(w, D) + λw λw )  ... 
doi:10.1145/2911451.2914768 dblp:conf/sigir/Montazeralghaem16 fatcat:xv7wnbba6nexrpnsdfbsca6ct4

Axiomatic analysis and optimization of information retrieval models

Hui Fang, ChengXiang Zhai
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
-Feedback terms should receive higher weights when they occur more in the feedback set. • … 69 Motivation for the DF Constraint Settings Mixture Model Log-logistic model Divergence minimization  ...  can expect to learn -Basic methodology of axiomatic analysis and optimization of retrieval models -Novel retrieval models developed using axiomatic analysis ) | ( C w p Improving retrieval models is a  ...  thinking in developing retrieval models for bridging the theory-effectiveness gap • Possibility of leveraging axiomatic analysis to improve the state of the art modelsAxiomatic Framework = constraints  ... 
doi:10.1145/2600428.2602294 dblp:conf/sigir/FangZ14 fatcat:b6rwcl5ck5gffhzd5od63ej35e

Axiomatic Analysis and Optimization of Information Retrieval Models

ChengXiang Zhai, Hui Fang
2013 Proceedings of the 2013 Conference on the Theory of Information Retrieval - ICTIR '13  
-Feedback terms should receive higher weights when they occur more in the feedback set. • … 69 Motivation for the DF Constraint Settings Mixture Model Log-logistic model Divergence minimization  ...  can expect to learn -Basic methodology of axiomatic analysis and optimization of retrieval models -Novel retrieval models developed using axiomatic analysis ) | ( C w p Improving retrieval models is a  ...  thinking in developing retrieval models for bridging the theory-effectiveness gap • Possibility of leveraging axiomatic analysis to improve the state of the art modelsAxiomatic Framework = constraints  ... 
doi:10.1145/2499178.2499205 dblp:conf/ictir/ZhaiF13 fatcat:sz3kvucwrvbadlsopuerhlefy4

Is Document Frequency Important for PRF? [chapter]

Stéphane Clinchant, Eric Gaussier
2011 Lecture Notes in Computer Science  
This analysis reveals that the standard mixture model for PRF in the language modeling family does not satisfy the DF constraint on the contrary to several recently proposed models.  ...  We introduce in this paper a new heuristic constraint for PRF models, referred to as the Document Frequency (DF) constraint, which is validated through a series of experiments with an oracle.  ...  The log-logistic model for pseudo relevance feedback is thus defined by: F W (w) = 1 n d∈F [log( N w N + tdf r(w, d)) + IDF(w)] (5) It is straightforward to show that both the log-logistic and the SPL  ... 
doi:10.1007/978-3-642-23318-0_10 fatcat:zdvsoeqqujcllpbos6af6v2t4q

Within and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory [article]

Anne Collins, Michael Frank
2017 bioRxiv   pre-print
Within-trial dynamics confirmed that increases in neural expectation were predictive of reduced neural surprise in the following feedback period, supporting central tenets of RL models.  ...  Together, these results provide a deeper understanding of how multiple neural systems interact for learning and decision making, and facilitate analysis of their disruption in clinical populations.  ...  Acknowledgements* The authors thank Julie Helmers for help with data collection, as well as Matthew Nassar, Samuel McDougle, Nicholas Franklin, and Andrew Westbrook for comments on this manuscript.  ... 
doi:10.1101/184812 fatcat:rb5mavf4cbeo7dv2jseuqcubgi

Heterogeneity in general practitioners' preferences for quality improvement programs: a choice experiment and policy simulation in France

Mehdi Ammi, Christine Peyron
2016 Health Economics Review  
In particular, the mixed logit demonstrates that heterogeneity in preferences is concentrated on the pay-for-performance component of the QIP, while the latent class model shows that physicians can be  ...  Despite increasing popularity, quality improvement programs (QIP) have had modest and variable impacts on enhancing the quality of physician practice.  ...  Acknowledgments We thank the two anonymous reviewers for their helpful comments that helped improve this manuscript.  ... 
doi:10.1186/s13561-016-0121-7 pmid:27637834 pmcid:PMC5025412 fatcat:gb3yq7y2wzgftmycgnraejkz4q

The Discipline of Ergonomics and Human Factors [chapter]

Waldemar Karwowski
2006 Handbook of Human Factors and Ergonomics  
TM TOP-Modeler C CIMOP system C Anthropotechnology Systems analysis tool Macroergonomic analysis of structure Macroergonomic analysis and design Table 11 11 Standards for Ergonomics Literacy  ...  One reason for the above is that technology, which has more features, also has less feedback.  ... 
doi:10.1002/0470048204.ch1 fatcat:p77dodzhijcqrffnt2iusrdv7q

Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network

Metin Celik, Selcuk Cebi, Cengiz Kahraman, I.Deha Er
2009 Expert systems with applications  
The outcomes of the quantitative models are utilized as data input for SWOT analysis that provide additional contributions for identifying the development strategies on container ports.  ...  This paper proposes a hybrid approach on ensuring the competitiveness requirements for major Turkish container ports by utilizing fuzzy axiomatic design (FAD) and fuzzy technique for order performance  ...  The methodologies of FAD and fuzzy TOPSIS are performed in Sections 4 and 5, respectively. The outcomes of both models are utilized as input data for the quantified SWOT analysis in Section 6.  ... 
doi:10.1016/j.eswa.2008.05.033 fatcat:43lcbrk27zbcvm2icundlszwgu

Broadening the Tests of Learning Models

Stephen N Kitzis, Hugh Kelley, Eric Berg, Dominic W Massaro, Daniel Friedman
1998 Journal of Mathematical Psychology  
The most striking finding is that the model that best predicts subjects' behavior is a simple Bayesian model with a single fitted parameter for prior precision to capture individual differences.  ...  These enrichments provide a broader data set and more challenging tests of the models.  ...  We considered logistic transforms of the choice data using estimates reported in FM97, but found no consistent improvement in model fits.  ... 
doi:10.1006/jmps.1998.1215 pmid:9710554 fatcat:7vbllejvgffkbjymljgjb2rxdq

Real and Fictive Outcomes Are Processed Differently but Converge on a Common Adaptive Mechanism

Adrian G. Fischer, Markus Ullsperger
2013 Neuron  
double dissociation in the processing of fictive and real feedback.  ...  In the choice phase, similar parietal EEG activity related to certainty of the impending response was predictive for the decision on the next trial as well.  ...  Grü ndler, and Tanja Endrass for fruitful discussions on the presented data and Sabrina Dö ring for support in data collection.  ... 
doi:10.1016/j.neuron.2013.07.006 pmid:24050408 fatcat:fxcokeqh3nafvipdjpu3urswd4

Preference-based Online Learning with Dueling Bandits: A Survey [article]

Viktor Bengs, Robert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier
2021 arXiv   pre-print
This observation has motivated the study of variants of the multi-armed bandit problem, in which more general representations are used both for the type of feedback to learn from and the target of prediction  ...  In the standard setting, the agent learns from stochastic feedback in the form of real-valued rewards.  ...  We would also like to thank two anonymous referees for their valuable comments and suggestions, which helped to significantly improve this survey.  ... 
arXiv:1807.11398v2 fatcat:jsu6gap5pbgbtm735fgf4aqwmu

Preference-based Online Learning with Dueling Bandits: A Survey

Viktor Bengs, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier
2021 Journal of machine learning research  
This observation has motivated the study of variants of the multi-armed bandit problem, in which more general representations are used both for the type of feedback to learn from and the target of prediction  ...  In the standard setting, the agent learns from stochastic feedback in the form of real-valued rewards.  ...  We would also like to thank two anonymous referees for their valuable comments and suggestions, which helped to significantly improve this survey.  ... 
dblp:journals/jmlr/BengsBMH21 fatcat:mdxi3bzymrb37ckbxbh27pu6f4

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach

Latifah Almuqren, Fatma S. Alrayes, Alexandra I. Cristea
2021 Future Internet  
These models face delay issues and lack timelines for targeting customers in real-time. In addition, these models lack the ability to tap into Arabic language social media for real-time analysis.  ...  As a result, the design of a customer churn model based on real-time analytics is needed.  ...  They found that combining social network information with call log details improved the churn prediction.  ... 
doi:10.3390/fi13070175 fatcat:c75hp33brjh7pltsxxpibpp6qu

On automatic assessment and conceptual understanding

Antti Rasila, Jarmo Malinen, Hannu Tiitu
2015 Teaching Mathematics and its Applications  
The article is concluded by visions for the future development involving, e.g., learning analytics based on students' answer data.  ...  complex problems (having several "right" solutions) that are expected to improve conceptual understanding.  ...  In all cases, user feedback and subsequent revisions of both the e-learning environment and the study materials are required for improving the user experience.  ... 
doi:10.1093/teamat/hrv013 fatcat:hbp6xpnt2bbkxlyccgprrbhlqi

Perceptual grouping in Gabor lattices: Proximity and alignment

Peter M. Claessens, Johan Wagemans
2005 Perception & Psychophysics  
The effect sizes of proximity and alignment were estimated in logistic regression analyses.  ...  The results confirmed the importance of proximity and local element alignment as factors in dynamic grouping.  ...  The different dashed lines show the quadratic logistic model for the different subjects (see legend), and the solid line is the fit for the data merged across subjects.  ... 
doi:10.3758/bf03193649 pmid:16555596 fatcat:gxjjflcplzf4xjlfotpywxmk4m
« Previous Showing results 1 — 15 out of 538 results