Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Shrihari Vasudevan"'
Autor:
Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Benjamin Zweig, Brian Johnston, Rachel Rosenfeld
Publikováno v:
Data Science and Engineering, Vol 3, Iss 3, Pp 248-262 (2018)
Abstract This paper proposes an approach to estimating fungibility between skills given multiple information sources of those skills. An estimate of skill adjacency or fungibility or substitutability is critical for effective capacity planning, analy
Externí odkaz:
https://doaj.org/article/0b5e8a0565b340efb1139ca173ce2132
Autor:
Shrihari Vasudevan
Publikováno v:
Entropy, Vol 22, Iss 5, p 560 (2020)
This paper demonstrates a novel approach to training deep neural networks using a Mutual Information (MI)-driven, decaying Learning Rate (LR), Stochastic Gradient Descent (SGD) algorithm. MI between the output of the neural network and true outcomes
Externí odkaz:
https://doaj.org/article/eadcb722b44c4c488434afcd47c5e260
Publikováno v:
2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8992e0b70703dcde5bfd3f2bc81a8d86
https://doi.org/10.1109/comsnets56262.2023.10041411
https://doi.org/10.1109/comsnets56262.2023.10041411
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e08c57747843827af31ef7872ee69d
https://doi.org/10.1109/icmla55696.2022.00227
https://doi.org/10.1109/icmla55696.2022.00227
Publikováno v:
Journal of Data Science. 13:341-368
This paper evaluates the efficacy of a machine learning approach to data fusion using convolved multi-output Gaussian processes in the context of geological resource modeling. It empirically demonstrates that information integration across multiple i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::060a9a6703bf86ecd704b3c428530eff
https://doi.org/10.6339/jds.201504_13(2).0007
https://doi.org/10.6339/jds.201504_13(2).0007
Publikováno v:
Journal of Data Science. 15:553-574
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03649d0533b1311c448adef7bb326fe6
https://doi.org/10.6339/jds.201707_15(3).0010
https://doi.org/10.6339/jds.201707_15(3).0010
Autor:
Moninder Singh, Shrihari Vasudevan, Rachel Rosenfeld, Brian Johnston, Michael Peran, Ben Zweig, Joydeep Mondal
Publikováno v:
Data Science and Engineering, Vol 3, Iss 3, Pp 248-262 (2018)
This paper proposes an approach to estimating fungibility between skills given multiple information sources of those skills. An estimate of skill adjacency or fungibility or substitutability is critical for effective capacity planning, analytics and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d3a15b7f225681e858e099b3531896
https://doi.org/10.1007/s41019-018-0075-3
https://doi.org/10.1007/s41019-018-0075-3
Publikováno v:
GlobalSIP
Due to the rapidly changing, dynamic nature of today's economic landscape, organizations are often engaged in a continuous exercise of matching their workforce with the changing needs of the marketplace. Re-skilling offers these enterprises the abili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::740506291f6be2998c80b3ce52be0824
https://doi.org/10.1109/globalsip.2017.8309089
https://doi.org/10.1109/globalsip.2017.8309089
Autor:
Michael Peran, Ben Zweig, Moninder Singh, Joydeep Mondal, Shrihari Vasudevan, Brian Johnston, Rachel Rosenfeld
Publikováno v:
ICDM Workshops
This paper proposes an approach to estimating fungibility between skills given multiple information sources of those skills. An estimate of skill adjacency or fungibility or substitutability is critical for effective capacity planning, analytics and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbcef9f337ef9314e1859b3ae39994fb
https://doi.org/10.1109/icdmw.2017.36
https://doi.org/10.1109/icdmw.2017.36
Autor:
Shrihari Vasudevan
Publikováno v:
Robotics and Autonomous Systems. 60:1528-1544
This paper addresses the problem of fusing multiple sets of heterogeneous sensor data using Gaussian processes (GPs). Experiments on large scale terrain modeling in mining automation are presented. Three techniques in increasing order of model comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::514a4246457c21c3fc4c766a8395ea0b
https://doi.org/10.1016/j.robot.2012.08.006
https://doi.org/10.1016/j.robot.2012.08.006