Zobrazeno 1 - 10
of 49
pro vyhledávání: '"A. T. Ihler"'
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Computing the partition function of a graphical model is a fundamental task in probabilistic inference. Variational bounds and Monte Carlo methods, two important approximate paradigms for this task, each has its respective strengths for solving diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0040ebcfe6a4ee8ffdb8378ca6a6868f
https://doi.org/10.1609/aaai.v33i01.33017900
https://doi.org/10.1609/aaai.v33i01.33017900
Publikováno v:
AAAI
Scopus-Elsevier
Scopus-Elsevier
Marginal MAP is a difficult mixed inference task for graphical models. Existing state-of-the-art solvers for this task are based on a hybrid best-first and depth-first search scheme that allows them to compute upper and lower bounds on the optimal so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e9560ef96b28c2e782a623f26f7980b
https://doi.org/10.1609/aaai.v33i01.33017924
https://doi.org/10.1609/aaai.v33i01.33017924
Koopman operator theory shows how nonlinear dynamical systems can be represented as an infinite-dimensional, linear operator acting on a Hilbert space of observables of the system. However, determining the relevant modes and eigenvalues of this infin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b74b2ad22b3424ef26f61d396ca4fa42
Autor:
Rafael S. de Souza, Emille E. O. Ishida, Anais Möller, M. Dai, Sreevarsha Sreejith, Alex I. Malz, K. A. Ponder, Alexander T. Ihler, Santiago González-Gaitán, Ricardo Vilalta, Alberto Krone-Martins, D. O. Jones, Lluís Galbany, Noble Kennamer, Bruno Quint
Publikováno v:
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
2020 IEEE Symposium Series on Computational Intelligence
2020 IEEE Symposium Series on Computational Intelligence, Dec 2020, Canberra, Australia. pp.3115-3124
SSCI
2020 IEEE Symposium Series on Computational Intelligence
2020 IEEE Symposium Series on Computational Intelligence, Dec 2020, Canberra, Australia. pp.3115-3124
SSCI
The recent increase in volume and complexity of available astronomical data has led to a wide use of supervised machine learning techniques. Active learning strategies have been proposed as an alternative to optimize the distribution of scarce labeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b1f21f782e2db50284581d688b3609
https://hal.science/hal-03355881
https://hal.science/hal-03355881
Publikováno v:
IJCAI
ion Sampling (AS) is a recently introduced enhancement of Importance Sampling that exploits stratification by using a notion of abstractions: groupings of similar nodes into abstract states. It was previously shown that AS performs particularly well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98762aa56f516b27e4cf27865d841b8e
https://doi.org/10.24963/ijcai.2020/589
https://doi.org/10.24963/ijcai.2020/589
Publikováno v:
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL. 15
A key challenge faced by online labor market researchers and practitioners is to understand how employers make hiring decisions from many job bidders with distinct attributes. This study investigates employer hiring behavior in one of the largest onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fac7a1bd53245b584a53abfc36ee3ff
https://doi.org/10.15837/ijccc.2020.2.3760
https://doi.org/10.15837/ijccc.2020.2.3760
Publikováno v:
Journal of Artificial Intelligence Research. 63:875-921
Mixed inference such as the marginal MAP query (some variables marginalized by summation and others by maximization) is key to many prediction and decision models. It is known to be extremely hard; the problem is NPPP-complete while the decision prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02256d4e954f72ebd3a5dc32bf79c3cc
https://doi.org/10.1613/jair.1.11265
https://doi.org/10.1613/jair.1.11265
Publikováno v:
International Journal of Computers Communications & Control. 13:235-250
Boosted by the growing logistics industry and digital transformation, the sharing warehouse market is undergoing a rapid development. Both supply and demand sides in the warehouse rental business are faced with market perturbations brought by unprece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37df15dced252882a0151174c35851d5
https://doi.org/10.15837/ijccc.2018.2.3034
https://doi.org/10.15837/ijccc.2018.2.3034
Publikováno v:
Journal of Hydrometeorology. 19:393-408
Compared to ground precipitation measurements, satellite-based precipitation estimation products have the advantage of global coverage and high spatiotemporal resolutions. However, the accuracy of satellite-based precipitation products is still insuf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f47070c5692a739eba086d52f8481cb
https://doi.org/10.1175/jhm-d-17-0077.1
https://doi.org/10.1175/jhm-d-17-0077.1
Autor:
Kevin K Lin, Vivek Kumar, Mikhail Geyfman, Darya Chudova, Alexander T Ihler, Padhraic Smyth, Ralf Paus, Joseph S Takahashi, Bogi Andersen
Publikováno v:
PLoS Genetics, Vol 5, Iss 7, p e1000573 (2009)
Hair follicles undergo recurrent cycling of controlled growth (anagen), regression (catagen), and relative quiescence (telogen) with a defined periodicity. Taking a genomics approach to study gene expression during synchronized mouse hair follicle cy
Externí odkaz:
https://doaj.org/article/a406f16a95c24a51a2b4ae7054ea2f88