Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Manali Sharma"'
Autor:
Abhishek Gupta, Ramesh Kumar Pachar, Saloni Sharma, Unnati Kumawat, Satyam Meena, Manali Sharma
Publikováno v:
2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d40de873909c40d1e8ae9d75cd72f6d2
https://doi.org/10.1109/iciccsp53532.2022.9862327
https://doi.org/10.1109/iciccsp53532.2022.9862327
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3073621aab85eb86af5474a71f529b00
https://doi.org/10.18653/v1/2022.findings-acl.161
https://doi.org/10.18653/v1/2022.findings-acl.161
Autor:
Sundeep Rangan, Marco Mezzavilla, Manali Sharma, Jia Shen, Huaijiang Zhu, Kai Pfeiffer, Ludovic Righetti
Publikováno v:
IROS
Real-world applications require light-weight, energy-efficient, fully autonomous robots. Yet, increasing autonomy is oftentimes synonymous with escalating computational requirements. It might thus be desirable to offload intensive computation—not o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934cec087b65bf5882a8d93ed926fcee
https://doi.org/10.1109/iros45743.2020.9341113
https://doi.org/10.1109/iros45743.2020.9341113
Publikováno v:
ICC
A key challenge in mmWave systems is the rapid variations in channel quality along different beam directions. MmWave links are highly susceptible to blockage and small changes in the orientation of the device or appearance of blockers can lead to dra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4aa07c917584d409037d30f124c071b
https://doi.org/10.1109/icc40277.2020.9148975
https://doi.org/10.1109/icc40277.2020.9148975
Autor:
Mustafa Bilgic, Manali Sharma
Publikováno v:
Machine Learning. 107:797-824
We present a simple and yet effective approach for document classification to incorporate rationales elicited from annotators into the training of any off-the-shelf classifier. We empirically show on several document classification datasets that our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3b44cf382117ee968de6cccf653c2ea
https://doi.org/10.1007/s10994-017-5671-3
https://doi.org/10.1007/s10994-017-5671-3
Publikováno v:
SSRN Electronic Journal.
Organizational Commitment has become a matter of concern for every organization as the tendency of employees to switch the organization is growing. The management is continuously experimenting with the employees to increase the organizational commitm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::789796b9b8956b74ff6e99d5931f1ce2
https://doi.org/10.2139/ssrn.3323757
https://doi.org/10.2139/ssrn.3323757
Publikováno v:
Data Mining and Knowledge Discovery. 31:287-313
Most of the empirical evaluations of active learning approaches in the literature have focused on a single classifier and a single performance measure. We present an extensive empirical evaluation of common active learning baselines using two probabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45ef90d762e2c187b025f4f5484566e8
https://doi.org/10.1007/s10618-016-0469-7
https://doi.org/10.1007/s10618-016-0469-7
Autor:
Manali Sharma, Mustafa Bilgic
Publikováno v:
Data Mining and Knowledge Discovery. 31:164-202
Active learning methods select informative instances to effectively learn a suitable classifier. Uncertainty sampling, a frequently utilized active learning strategy, selects instances about which the model is uncertain but it does not consider the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22a87c1d22dabaa2aa1fa718d7bee36d
https://doi.org/10.1007/s10618-016-0460-3
https://doi.org/10.1007/s10618-016-0460-3
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712727
ECML/PKDD (3)
ECML/PKDD (3)
Often the manual review of large data sets, either for purposes of labeling unlabeled instances or for classifying meaningful results from uninteresting (but statistically significant) ones is extremely resource intensive, especially in terms of subj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5553b0305e548e9d06ac3130a7add4b1
https://doi.org/10.1007/978-3-319-71273-4_38
https://doi.org/10.1007/978-3-319-71273-4_38
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319461304
ECML/PKDD (3)
ECML/PKDD (3)
A major focus of the commercial aviation community is discovery of unknown safety events in flight operations data. Data-driven unsupervised anomaly detection methods are better at capturing unknown safety events compared to rule-based methods which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77eea6cd34d54123955fb7c9d6b8d40d
https://doi.org/10.1007/978-3-319-46131-1_25
https://doi.org/10.1007/978-3-319-46131-1_25