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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
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
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
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
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
Autor:
RuWei Dai, Dengyong Zhou
Publikováno v:
Proceedings of the 3rd World Congress on Intelligent Control & Automation (Cat. No.00EX393); 2000, p3033-3039, 7p
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
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
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