Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Anveshi Charuvaka"'
Autor:
Rob Klenner, Naresh Iyer, Anveshi Charuvaka, Nurali Virani, Hayley Stephenson, Guoxiang Liu, Glen Murrell
Publikováno v:
Day 2 Thu, September 06, 2018.
Frac hits are a form of fracture-driven interference (FDI) that occur when newly drilled wells communicate with existing wells during completion, and which may negatively or positively affect production. An analytics and machine-learning approach is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71189aef20df1f5708dc9f4761f80b05
https://doi.org/10.2118/191789-ms
https://doi.org/10.2118/191789-ms
Publikováno v:
ICTAI
Multi-task learning (MTL) is a supervised learning paradigm in which the prediction models for several related tasks are learned jointly to achieve better generalization performance. When there are only a few training examples per task, MTL considera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfe12b364ff15b138f8d476f87cec59c
Autor:
Huzefa Rangwala, Anveshi Charuvaka
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11:1087-1098
Classification problems in which several learning tasks are organized hierarchically pose a special challenge because the hierarchical structure of the problems needs to be considered. Multi-task learning (MTL) provides a framework for dealing with s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1afa2a41f494cdfff4b9bee370b607ee
https://doi.org/10.1109/tcbb.2014.2338303
https://doi.org/10.1109/tcbb.2014.2338303
Autor:
Anveshi Charuvaka, Huzefa Rangwala
Publikováno v:
SAC
In real world, we often encounter hierarchical classification problems with large number of categories and deep hierarchies. In addition, majority of the categories do not have sufficient examples for training classifiers with good generalization per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb72078c0f03dd8755eb6d3a03883c4f
https://doi.org/10.1145/2695664.2695755
https://doi.org/10.1145/2695664.2695755
Autor:
Huzefa Rangwala, Anveshi Charuvaka
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319235271
ECML/PKDD (1)
ECML/PKDD (1)
Hierarchical Classification (HC) is an important problem with a wide range of application in domains such as music genre classification, protein function classification and document classification. Although several innovative classification methods h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15957b30e345d6e0570db03f860d5bf0
https://doi.org/10.1007/978-3-319-23528-8_42
https://doi.org/10.1007/978-3-319-23528-8_42
Autor:
Anveshi Charuvaka, Huzefa Rangwala
Publikováno v:
CIDM
Multi-task learning improves generalization performance by learning several related tasks jointly. Several methods have been proposed for multi-task learning in recent years. Many methods make strong assumptions about symmetric task relationships whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a1603a6cb45d6d9b96ecdeb8eef57ad
https://doi.org/10.1109/cidm.2014.7008149
https://doi.org/10.1109/cidm.2014.7008149
Autor:
Anveshi Charuvaka, Huzefa Rangwala
Publikováno v:
ICDM
Several biological databases organize information in taxonomies/hierarchies. These databases differ in terms of curation process, input data, coverage and annotation errors. SCOP and CATH are examples of two databases that classify proteins hierarchi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cf5359d8f3219495a5a84ae0d72db09
https://doi.org/10.1109/icdm.2012.27
https://doi.org/10.1109/icdm.2012.27
Autor:
Huzefa Rangwala, Anveshi Charuvaka
Publikováno v:
BMC Genomics
BIBM
BIBM
Background Metagenomic assembly is a challenging problem due to the presence of genetic material from multiple organisms. The problem becomes even more difficult when short reads produced by next generation sequencing technologies are used. Although
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::173eb06f7681c891c00185c77417ad48
http://europepmc.org/articles/PMC3194239
http://europepmc.org/articles/PMC3194239