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Measuring system performance and topic discernment using generalized adaptive-weight mean
2009
Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09
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We propose the Generalized Adaptive-Weight Mean (GAWM) measure and show how it can be computed as a fixed point of a function for which the Brouwer Fixed Point Theorem applies. ...
Standard approaches to evaluating and comparing information retrieval systems compute simple averages of performance statistics across individual topics to measure the overall system performance. ...
We develop the Generalized Adaptive-Weight Mean (GAWM) measure and present a unified model for system evaluation using GAWM, where the weights reflect the ability of the test topics to differentiate among ...
doi:10.1145/1645953.1646294
dblp:conf/cikm/LeeVRKMI09
fatcat:5b223b4mdrfoxi7arr2t6t62ie
Ad Hoc Monitoring of Vocabulary Shifts over Time
2015
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15
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We construct semantic networks of terms based on their representation in the semantic spaces and use graph-based measures to calculate saliency of terms. ...
Word meanings change over time. Detecting shifts in meaning for particular words has been the focus of much research recently. ...
A method relying on such terms would run a considerable risk of topic drift.We compute four measures of degree centrality: number of inlinks, weighted sum of inlinks, number of outlinks and weighted sum ...
doi:10.1145/2806416.2806474
dblp:conf/cikm/KenterWHR15
fatcat:yncfba6mujakje4sqyfsbjjg4i
A rough-fuzzy document grading system for customized text information retrieval
2005
Information Processing & Management
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We have provided the detailed design of the various modules and some results related to the performance analysis of the system. ...
In this paper, we have provided the design of a customized text information filtering system which learns user preferences and modifies the initial query to fetch better documents. ...
Individual user ratings of pages are used to generate the user's profile adaptively, so that the recommendations gradually become more personalized. ...
doi:10.1016/j.ipm.2003.09.004
fatcat:lbyduyvjqzb5teu2ntqrzadgqy
Improving SVM Text Classification Performance through Threshold Adjustment
[chapter]
2003
Lecture Notes in Computer Science
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By using thresholds based on utility models and the ranking properties of classifiers, it is possible to overcome the precision bias of SVMs and insure robust performance in recall across a wide variety ...
We describe an automatic process for adjusting the thresholds of generic SVM which incorporates a user utility model, an integral part of an information management system. ...
Acknowledgements We thank David Evans, David Hull and Diane Kelly for their useful comments. ...
doi:10.1007/978-3-540-39857-8_33
fatcat:wxqw5xy46fejrbnnldxfiej2ii
Quality of health information on the Internet in pediatric neuro-oncology
2006
Neuro-Oncology
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The Web sites were evaluated for content quality by using the validated DISCERN rating instrument. Breadth of content and its accuracy were also scored by a checklist tool. ...
Web sites were found deficient in topics covering etiology, late effects, prognosis, and treatment choices. ...
The interobserver variability for both rating methods was measured by using either weighted or unweighted kappa statistics. ...
doi:10.1215/15228517-2005-008
pmid:16533758
pmcid:PMC1871939
fatcat:ts5gid2iurddrjd2calbygs4yu
Combining evidence for automatic Web session identification
2002
Information Processing & Management
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Our previous work in traditional information retrieval systems has shown how using contextual information could improve retrieval performance. ...
The approach automatically groups a user's consecutive search activities on the same search topic into one session. ...
Bill Teahan and Dr. Andrei Petrovski for their comments. ...
doi:10.1016/s0306-4573(01)00060-7
fatcat:dwpixf7fprg7fp5eem3wrwynau
A semi-supervised document clustering technique for information organization
2000
Proceedings of the ninth international conference on Information and knowledge management - CIKM '00
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Most clustering methods organizes documents into groups based only on similarity measures. ...
As a basic clustering strategy, we use a variant of complete-linkage agglomerative hierarchical clustering, and develop the concepts (or seeds) of requested clusters by exploiting userrelevance feedback ...
We use the standard measurements of information retrieval performance: precision, recall and F-measure for each cluster, with respect to the topic in question. ...
doi:10.1145/354756.354777
dblp:conf/cikm/KimL00
fatcat:54oxtfkqovh3zlzal7ubdz5lza
Networked Decentralized Control of Adaptive Structures
2020
Journal of Communications
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Control of such structures needs to be performed in real-time with high reliability and robustness. Decentralization provides a means to reduce cost and increase both redundancy and reliability. ...
Subsystem models are derived from a global Finite Element (FE) model of the structure using model order reduction techniques which enables the use of distributed and Decentralized Information Filters ( ...
Information on the structural deformation is obtained using two different measurement systems -an optical camera system and strain gauge sensors. ...
doi:10.12720/jcm.15.6.496-502
fatcat:c47lkchkmrahhadxrmfwlu5jtm
Rough-fuzzy mlp: modular evolution, rule generation, and evaluation
2003
IEEE Transactions on Knowledge and Data Engineering
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The modular concept, based on "divide and conquer" strategy, provides accelerated training and a compact network suitable for generating a minimum number of rules with high certainty values. ...
A methodology is described for evolving a Rough-fuzzy multi layer perceptron with modular concept using a genetic algorithm to obtain a structured network suitable for both classification and rule extraction ...
ACKNOWLEDGMENTS This work was partly supported by a Council of Scientific and Industrial Research (CSIR) Grant 25(0039)/97/EMR-II, India. ...
doi:10.1109/tkde.2003.1161579
fatcat:t4famurdw5d3pbuz73v46x2j5y
An adaptive Web page recommendation service
1997
Proceedings of the first international conference on Autonomous agents - AGENTS '97
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In this paper we explain the design of the system architecture and report the results of our rst experiment, evaluating recommendations provided to a group of test users. ...
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. ...
Acknowledgments The research described was supported in part by the NSF/ARPA/NASA Digital Library project (NSF IRI-9411306) and in part by NSF contract IRI-9220645. ...
doi:10.1145/267658.267744
dblp:conf/agents/Balabanovic97
fatcat:qyjngf2qdjgw3k3ei7qcpxhgji
Improving M-learners' Performance Through Deep Learning Techniques by Leveraging Features Weights
2020
IEEE Access
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Subsequently, both models were selected for developing the M-learning model which included the performance categorization of M-learners under a five-level classification scheme and assigning weights to ...
For an adaptive M-learning model, not only learning features are required, but it is also important to determine how they differ for various Mlearners, their weights, and interrelationship. ...
Five-point Likert-scale was used to measure M-learners' satisfaction toward using the M-learning system where 5 means ''strongly agree'' and 1 means ''strongly disagree''. ...
doi:10.1109/access.2020.3007727
fatcat:ryls52oxwvgfvb6whjmg32z47a
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks
2020
BMC Medical Informatics and Decision Making
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We compared the performance of a traditional model (Random Forest) with that of a hierarchical encoder attention-based neural network (HEA) model using two language embeddings, BERT and BioBERT. ...
We built an automated implementation of the DISCERN instrument (Brief version) using machine learning models. ...
Funding The authors would like to acknowledge the Swiss National Science Foundation for their previous funding of A-Discern project (grant number P2TIP1-161635) awarded to AA. 1 ...
doi:10.1186/s12911-020-01131-z
pmid:32517759
fatcat:oje437dmbfc37nqddw6mgyndwi
Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research
2016
Technological forecasting & social change
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By addressing and predicting these changes, this paper proposes an analytic method to (1) cluster associated terms and phrases to constitute meaningful technological topics and their interactions, and ...
Our results are carried forward to present mechanisms that forecast prospective developments using Technology Roadmapping, combining qualitative and quantitative methodologies. ...
Several aiding models are added as described below:
1) Cluster Validation Model Referring to the common performance measures in information retrieval, Recall, Precision, and F Measure are three target ...
doi:10.1016/j.techfore.2016.01.015
fatcat:zjqqq2pwondftgvl6zjbpq6c2y
Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization
2011
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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The proposed fast adaptation algorithm, using a single enrollment sentence only, results in similar performance as fMLLR adapting on 40 enrollment sentences. ...
In order to learn meaningful correlations between Gaussian activations from the train data, the NMF-based weight adaptation was combined with vocal tract length normalization (VTLN) and feature-space maximum ...
The SD Gaussian mixture weights {λr} R r=1 are used to perform NMF based mixture weight speaker adaptation as described in the next section. ...
doi:10.1109/icassp.2011.5947343
dblp:conf/icassp/ZhangDh11
fatcat:cbxygadxwjezvkxr2gslrmt6u4
AutoDiscern: Rating the Quality of Online Health Information with Hierarchical Encoder Attention-based Neural Networks
[article]
2020
arXiv
pre-print
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We compared the performance of a traditional model (Random Forest) with that of a hierarchical encoder attention-based neural network (HEA) model using two language embeddings, BERT and BioBERT. ...
We built an automated implementation of the DISCERN instrument (Brief version) using machine learning models. ...
Acknowledgements The authors would like to acknowledge the Swiss National Science Foundation for their previous funding of A-Discern project (grant number P2TIP1-161635) awarded to AA. ...
arXiv:1912.12999v3
fatcat:ymrtvdlnrzdgdjmy7jr6bqliym
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