Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Maniyar, Dharmesh M."'
Autor:
Maniyar, Dharmesh M.
This thesis introduces a flexible visual data exploration framework which combines advanced projection algorithms from the machine learning domain with visual representation techniques developed in the information visualisation domain to help a user
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433807
Publikováno v:
NCRG/2007/001
As a part of the Managing Uncertainty in Complex Models (MUCM) project, research at Aston University will develop methods for dimensionality reduction of the input and/or output spaces of models, as seen within the emulator framework. Towards this en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::225f401ba41c1386555122891513024c
https://publications.aston.ac.uk/id/eprint/1400/1/NCRG_2007_001.pdf
https://publications.aston.ac.uk/id/eprint/1400/1/NCRG_2007_001.pdf
Autor:
Maniyar, Dharmesh M., Ian T Nabney
Publikováno v:
Workshop on Multimedia Data Mining “Merging Multimedia and Data Mining Research”
Aston Research Explorer
Aston Research Explorer
Today, the data available to tackle many scientific challenges is vast in quantity and diverse in nature. The exploration of heterogeneous information spaces requires suitable mining algorithms as well as effective visual interfaces. Most existing sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::72a9ef6b469a5c7d222e649383c3f972
https://publications.aston.ac.uk/id/eprint/9288/1/MDM_full.pdf
https://publications.aston.ac.uk/id/eprint/9288/1/MDM_full.pdf
Autor:
Maniyar, Dharmesh M.
Publikováno v:
NCRG/2006/013
Today, the data available to tackle many scientific challenges is vast in quantity and diverse in nature. The exploration of heterogeneous information spaces requires suitable mining algorithms as well as effective visual interfaces. miniDVMS v1.8 pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::2ce85992629cafb3207bb1a00ac62618
https://publications.aston.ac.uk/id/eprint/1398/1/NCRG_2006_013.pdf
https://publications.aston.ac.uk/id/eprint/1398/1/NCRG_2006_013.pdf
Autor:
Maniyar, Dharmesh M., Nabney, Ian T.
Publikováno v:
NCRG/2005/012
We propose a generative topographic mapping (GTM) based data visualization with simultaneous feature selection (GTM-FS) approach which not only provides a better visualization by modeling irrelevant features ("noise") using a separate shared distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::e50998ca19202631e453898ce7c9551c
https://publications.aston.ac.uk/id/eprint/38371/1/NCRG_2005_012.pdf
https://publications.aston.ac.uk/id/eprint/38371/1/NCRG_2005_012.pdf
Autor:
Maniyar, Dharmesh M., Nabney, Ian T.
Solving many scientific problems requires effective regression and/or classification models for large high-dimensional datasets. Experts from these problem domains (e.g. biologists, chemists, financial analysts) have insights into the domain which ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::db54d16ca7d2c339ed9c492b23353f8f
https://publications.aston.ac.uk/id/eprint/1056/1/finalGME.pdf
https://publications.aston.ac.uk/id/eprint/1056/1/finalGME.pdf
Autor:
Maniyar, Dharmesh M., Nabney, Ian T.
Publikováno v:
NCRG/2005/003
The data available during the drug discovery process is vast in amount and diverse in nature. To gain useful information from such data, an effective visualisation tool is required. To provide better visualisation facilities to the domain experts (sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::c172c224847e5a817f679cdfe3c32258
https://publications.aston.ac.uk/id/eprint/1381/1/NCRG_2005_003.pdf
https://publications.aston.ac.uk/id/eprint/1381/1/NCRG_2005_003.pdf
Publikováno v:
In International Review of Economics and Finance June 2009 18(3):381-391
Publikováno v:
In International Review of Economics and Finance March 2014 30:149-149
Autor:
Maniyar, Dharmesh M., Nabney, Ian T.
Publikováno v:
Proceedings of the 12th ACM SIGKDD International Conference: Knowledge Discovery & Data Mining; 8/20/2006, p643-648, 6p