Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ruchir Garg"'
Autor:
Rashmi Patel, Miguel E Rentería, Soon Nan Wee, Rajagopalan Ramaswamy, Simran Thadani, Jesisca Tandi, Ruchir Garg, Nathan Calvanese, Matthew Valko, A John Rush, Joydeep Sarkar, Scott H Kollins
Publikováno v:
BMJ Open, Vol 12, Iss 4 (2022)
Purpose NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analysis throug
Externí odkaz:
https://doaj.org/article/0123d2bcfa80429fa333f699fba05a7e
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811309229
Classification on non-stationary data requires faster evolving of the model while keeping the accuracy levels consistent. We present here a faster and reliable model to handle non-stationary data when a small number of labelled samples are available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b57852b33c51dc59b0ae228fe80f16ee
https://doi.org/10.1007/978-981-13-0923-6_63
https://doi.org/10.1007/978-981-13-0923-6_63
Publikováno v:
IDA Times; Jun2012, Vol. 8 Issue 6, p5-5, 1/4p, 1 Color Photograph
Publikováno v:
IDA Times; Jun2012, Vol. 8 Issue 6, p5-5, 1/5p
Publikováno v:
IDA Times; Jun2012, Vol. 8 Issue 6, p5-5, 1/3p, 1 Color Photograph
Publikováno v:
IDA Times; Jun2012, Vol. 8 Issue 6, p5-5, 1/5p, 1 Color Photograph
Autor:
Shivaji Mukherjee
What explains the peculiar spatial variation of Maoist insurgency in India? Mukherjee develops a novel typology of colonial indirect rule and land tenure in India, showing how they can lead to land inequality, weak state and Maoist insurgency. Using
Autor:
Nandini Sundar
The Burning Forest is an empathetic, moving account of what drives indigenous peasants to support armed struggle despite severe state repression, including lives lost, homes and communities destroyed.Over the past decade, the heavily forested,mineral
Autor:
M. Tanveer, Ram Bilas Pachori
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SV