Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Dengyong Zhou"'
Autor:
Dengyong Zhou, Nihar B. Shah
Publikováno v:
ACM Transactions on Economics and Computation. 8:1-40
The growing need for labeled training data has made crowdsourcing a vital tool for developing machine learning applications. Here, workers on a crowdsourcing platform are typically shown a list of unlabeled items, and for each of these items, are ask
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1203579034f8db3a8bb165fa94284cc
https://doi.org/10.1145/3396863
https://doi.org/10.1145/3396863
Publikováno v:
Query Understanding for Search Engines ISBN: 9783030583330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf8fb8ed46f77ec9de89da97fa13079
https://doi.org/10.1007/978-3-030-58334-7_8
https://doi.org/10.1007/978-3-030-58334-7_8
Autor:
Lin Xiao, Anil Francis Thomas, Shayok Chakraborty, Jack W. Stokes, Dengyong Zhou, Mady Marinescu
Publikováno v:
MILCOM
Despite widespread use of commercial anti-virus products, the number of malicious files detected on home and corporate computers continues to increase at a significant rate. Recently, anti-virus companies have started investing in machine learning so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f55bf6fd8c1b8b127adf9891fc32656a
https://doi.org/10.1109/milcom.2017.8170758
https://doi.org/10.1109/milcom.2017.8170758
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 3:1-30
Evolutionary clustering is an emerging research area essential to important applications such as clustering dynamic Web and blog contents and clustering data streams. In evolutionary clustering, a good clustering result should fit the current data we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1de0ef4966ee6cc7ab300a32c81b3857
https://doi.org/10.1145/1631162.1631165
https://doi.org/10.1145/1631162.1631165
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 45:3044-3054
This paper presents a semi-supervised graph-based method for the classification of hyperspectral images. The method is designed to handle the special characteristics of hyperspectral images, namely, high-input dimension of pixels, low number of label
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c28b113c9c8b0c55a3c9513986454f7f
https://doi.org/10.1109/tgrs.2007.895416
https://doi.org/10.1109/tgrs.2007.895416
Autor:
Nihar Shah, Dengyong Zhou
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
Human computation or crowdsourcing involves joint inference of the ground-truth-answers and the worker-abilities by optimizing an objective function, for instance, by maximizing the data likelihood based on an assumed underlying model. A variety of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f3f36ddbbcd83719d168ef21d7e9a20
https://doi.org/10.1609/aaai.v29i1.9336
https://doi.org/10.1609/aaai.v29i1.9336
Autor:
Jason Weston, William Stafford Noble, Eugene Ie, Christina S. Leslie, André Elisseeff, Dengyong Zhou
Publikováno v:
Bioinformatics
Motivation: Building an accurate protein classification system depends critically upon choosing a good representation of the input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-the-art classificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bfa802481ee674c915ac713e584a607
https://doi.org/10.1093/bioinformatics/bti497
https://doi.org/10.1093/bioinformatics/bti497
Publikováno v:
SSRN Electronic Journal.
In crowd labeling, a large amount of unlabeled data instances are outsourced to a crowd of workers. Workers will be paid for each label they provide, but the labeling requester usually has only a limited amount of the budget. Since data instances hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2395979984d4524e1eb7b12cb5d9fd71
https://doi.org/10.2139/ssrn.2408163
https://doi.org/10.2139/ssrn.2408163
Publikováno v:
WSDM
Query suggestion is an interactive approach for search engines to better understand users information need. In this paper, we propose a novel query suggestion framework which leverages user re-query feedbacks from search engine logs. Specifically, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f3b9992bc93f98b08177b23917d3868
https://doi.org/10.1145/2124295.2124339
https://doi.org/10.1145/2124295.2124339
Publikováno v:
SIGIR
Query suggestion refers to the process of suggesting related queries to search engine users. Most existing researches have focused on improving the relevance of suggested queries. In this paper, we introduce the concept of diversifying the content of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4086f4f45137d7ffa72ec62a1acdacb4
https://doi.org/10.1145/2009916.2010025
https://doi.org/10.1145/2009916.2010025