Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Stephen Giguere"'
Publikováno v:
EURO Journal on Decision Processes. 11:100031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::441727a073755e99d95ea4fa856f1a76
https://doi.org/10.1016/j.ejdp.2023.100031
https://doi.org/10.1016/j.ejdp.2023.100031
Autor:
Philip S. Thomas, Emma Brunskill, Bruno da Silva, Andrew G. Barto, Stephen Giguere, Yuriy Brun
Publikováno v:
Science. 366:999-1004
Making well-behaved algorithmsMachine learning algorithms are being used in an ever-increasing number of applications, and many of these applications affect quality of life. Yet such algorithms often exhibit undesirable behavior, from various types o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7eed9b40674628fdd383b28489b12ee
https://doi.org/10.1126/science.aag3311
https://doi.org/10.1126/science.aag3311
Cloud native security isnâ??t a game for individual players. It requires team collaboration with a platform that can help cloud security engineers, developers, and operations people do their best work. Thatâ??s what the cloud native application pro
Publikováno v:
Spectrochimica Acta Part B: Atomic Spectroscopy. 126:53-64
This project examines the causes, effects, and optimization of continuum removal in laser-induced breakdown spectroscopy (LIBS) to produce the best possible prediction accuracy of elemental composition in geological samples. We compare prediction acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e6345607ae01066a938225eeb6bd49b
https://doi.org/10.1016/j.sab.2016.10.018
https://doi.org/10.1016/j.sab.2016.10.018
Autor:
Stephen Giguere, Sarah Byrne, M. Darby Dyar, CJ Carey, K. H. Lepore, T. Boucher, Caleb I. Fassett, Sridhar Mahadevan
Publikováno v:
Spectrochimica Acta Part B: Atomic Spectroscopy. 123:93-104
This study uses 1356 spectra from 452 geologically-diverse samples, the largest suite of LIBS rock spectra ever assembled, to compare the accuracy of elemental predictions in models that use only spectral regions thought to contain peaks arising from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f121962add64b324fde4287987801dfa
https://doi.org/10.1016/j.sab.2016.07.010
https://doi.org/10.1016/j.sab.2016.07.010
Autor:
T. Boucher, Chloe H Anderson, J. Michael Rhodes, E. A. Breves, Sarah Byrne, Stephen Giguere, Caleb I. Fassett, Richard W. Murray, M. Darby Dyar, Michael J. Vollinger, K. H. Lepore
Publikováno v:
Applied spectroscopy. 71(4)
Obtaining quantitative chemical information using laser-induced breakdown spectroscopy is challenging due to the variability in the bulk composition of geological materials. Chemical matrix effects caused by this variability produce changes in the pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b40a47b7083747f630f019029ad48393
https://pubmed.ncbi.nlm.nih.gov/28374610
https://pubmed.ncbi.nlm.nih.gov/28374610
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 27:654-660
This paper presents a new approach to representation discovery in reinforcement learning (RL) using basis adaptation. We introduce a general framework for basis adaptation as {\em nonlinear separable least-squares value function approximation} based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f15dcf1ad41bd7e582ed4cab9818fa7
https://doi.org/10.1609/aaai.v27i1.8665
https://doi.org/10.1609/aaai.v27i1.8665
Publikováno v:
UIST
We present AttribIt, an approach for people to create visual content using relative semantic attributes expressed in linguistic terms. During an off-line processing step, AttribIt learns semantic attributes for design components that reflect the high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d2fc21f9125b0e30849d8135bdc75ff
https://doi.org/10.1145/2501988.2502008
https://doi.org/10.1145/2501988.2502008
Publikováno v:
Social Computing, Behavioral-Cultural Modeling and Prediction ISBN: 9783642290466
SBP
SBP
Today, the responsibility for U.S. cyber defense is divided asymmetrically between a large population of cyber-naive end-users and a small cadre of cyber-savvy security experts in government and the private sector. We foresee the rise of "Cyber Civil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71cad6a35dc86d3f123b07cd5d915341
https://doi.org/10.1007/978-3-642-29047-3_5
https://doi.org/10.1007/978-3-642-29047-3_5
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783642134364
Intelligent Tutoring Systems (2)
Intelligent Tutoring Systems (2)
This paper examines the problem of modeling when students are engaged in “gaming the system.” We propose and partially validate an approach that uses a hidden Markov model, as is used in knowledge tracing, to estimate whether the student is gamin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fe7076a87815b925c7fc51a55246ac2
https://doi.org/10.1007/978-3-642-13437-1_58
https://doi.org/10.1007/978-3-642-13437-1_58