Fetching the paper…
Reading the bibliography…
This is a follow-up sensitivity study on r-mode gravitational wave signals from newborn neutron stars illustrating the applicability of machine learning algorithms for the detection of long-lived gravitational-wave transients.
S. Chandrasekhar, Phys. Rev. Lett., 24
1970
Earlier work this paper cites.
R. P. Kirshner, and J. Kwan, The Astrophysical Journal 193
1974
Earlier work this paper cites.
D. Goldfarb and A. Idnani, Mathematical Programming 27
1983
Earlier work this paper cites.
P. M. Dragicevich, D. G. Blair and R. R. Burman, Mon. Not. Roy. Astron.Soc. 302
1990
Earlier work this paper cites.
D. Branch and G. A. Tammann, Annual Review of Astronomy and Astrophysics 30
1992
Earlier work this paper cites.
B. P. Schmidt, R. P. Kirshner, R. G. Eastman, M. M. Phillips, N. B. Suntzeff, M. Hamuy, J. Maza, R. Aviles, Astrophys. J. 432
1994
Earlier work this paper cites.
C. M. Bishop, Neural networks for pattern recognition (OUP, 1995)
1995
Earlier work this paper cites.
J. Laaksonen, Artificial Neural Networks ICANN’97, (Springer, 1997) pp.637-642
1997
Earlier work this paper cites.
N. Andersson, The Astrophysical Journal, 502
1998
Earlier work this paper cites.
J. L. Friedman, and S. M. Morsink, S. M. The Astrophysical Journal 502
1998
Earlier work this paper cites.
L. Lindblom, B. J. Owen, and S. M. Morsink, Phys. Rev. Lett. 80
1998
Earlier work this paper cites.
B. J. Owen, L. Lindblom, C. Cutler, et al., Phys. Rev. D 58
1998
Earlier work this paper cites.
V. N. Vapnik and V. Vapnik, Statistical learning theory (Wiley New York, 1998)
1998
Earlier work this paper cites.
J. Platt et al., Technical report msr-tr-98-14, Microsoft Research (1998)
1998
Earlier work this paper cites.
J. Platt et al., Advances in kernel methods and support vector learning 3
1999
Earlier work this paper cites.
W. C. Ho and D. Lai, The Astrophysical Journal 543
2000
Earlier work this paper cites.
L. Rezzolla, F. K. Lamb, and S. L. Shapiro, Astrophys. J. Lett. 532
2000
Earlier work this paper cites.
N. Cristianini and J. Shawe-Taylor, An introduction to support vector machines and other kernel-based learning methods (CUP, 2000)
2000
Earlier work this paper cites.
A. K. Schenk, P. Arras, E. E. Flanagan, S. A. Teukolsky, and I. Wasserman, Phys. Rev. D 65
2001
Cited alongside, same era.
N. Andersson, and K. D. Kokkotas, International Journal of Modern Physics D 10
2001
Cited alongside, same era.
L. Breiman, Machine Learning 45
2001
Cited alongside, same era.
I. Jolliffe, Principal component analysis (Wiley Online Library, 2002)
2002
Cited alongside, same era.
D. R. Wilson and T. R. Martinez, Neural Networks 16
2003
Cited alongside, same era.
S. Haykin, Neural Networks Journal 2
2004
Cited alongside, same era.
E. Thrane, S. Kandhasamy, C. D. Ott, et al., Phys. Rev. D 83
2011
Later among the works it cites.
C. Chang and C. Lin, ACM Transactions on Intelligent Systems and Technology (TIST) 2
2011
Later among the works it cites.
M. G. Alford, S. Mahmoodifar, and K. Schwenzer, Phys. Rev. D 85
2012
Later among the works it cites.
J. E. Staff, P. Jaikumar, V. Chan, and R. Ouyed, The Astrophysical Journal 751
2012
Later among the works it cites.
K. P. Murphy, Machine learning: a probabilistic perspective (MIT Press, 2012)
2012
Later among the works it cites.
A. Krizhevsky, I. Sutskever, G. E. Hinton, Advances in neural information processing systems, pp.1097-1105, (2012)
2012
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2005
Cited alongside, same era.
S. Ando, J. F. Beacom, H. Yuksel, Phys. Rev. Lett. 95
2005
Cited alongside, same era.
R. Vidal, Y. Ra and S. Sastry, Pattern Analysis and Machine Intelligence, IEEE Transactions on 27
2005
Cited alongside, same era.
C. D. Ott, A. Burrows, T. A. Thompson, E. Livne, and R. Walder, Astrophys. J. Suppl. 164
2006
Cited alongside, same era.
C. M. Bishop, Pattern Recognition and Machine Learning (Springer, 2006)
2006
Cited alongside, same era.
Y. S. Li, and S. D. White, Mon. Not. Roy. Astron. Soc. 384
2008
Cited alongside, same era.
E. Thrane and M. Coughlin, arXiv:1308.5292 [astro-ph.IM] (2013)
2013
Later among the works it cites.
R. Biswas, L. Blackburn, J. Cao, R. Essick, K. A. Hodge, E. Katsavounidis, K. Kim, Y. M. Kim, E. O. Le Bigot, C. H. Lee, J. J. Oh, S. H. Oh, E. J. Son, Y. Tao, R. Vaulin, and X. Wang, Phys. Rev. D 88
2013
Later among the works it cites.
R. Fletcher, Practical methods of optimization (John Wiley &Sons, 2013)
2013
Later among the works it cites.
A. Goobar, J. Johansson, R. Amanullah, Y. Cao, D. A. Perley, M. M. Kasliwal, R. Ferretti, P. E. Nugent, C. Harris, A. Gal-Yam, E. O. Ofek et al. The Astrophysical journal Letters 784
2014
Later among the works it cites.
A. Mytidis, M. Coughlin and B. Whiting, The Astrophysical Journal 810
2015
Closest in time.
O. P. Panagopoulos, V. Pappu, P. Xanthopoulos and P. M. Pardalos, Omega, 10.1016/j.omega.2015.05.009 (2015)
2015
Closest in time.
B. P. Abbott, R. Abbott, R. Adhikari, P. Ajith, B. Allen, G. Allen, R. S. Amin, S. B. Anderson, W. G. Anderson, M. A. Arain et al. Classical and Quantum Gravity, 32
2015
Closest in time.
P. T. Baker, S. Caudill, K. A. Hodge, D. Talukder, C. Capano, and N. J. Cornish, Phys. Rev. D 91
2015
Closest in time.
B. P. Abbott, R. Abbott, R. Adhikari, P. Ajith, B. Allen, G. Allen, R. S. Amin, S. B. Anderson, W. G. Anderson, M. A. Arain et al. Phys. Rev. D 93
2016
Closest in time.
Abadi, Martín, et al. Tensorflow: a system for large-scale machine learning. OSDI. Vol. 16. 2016
2016
Closest in time.
B. P. Abbott, R. Abbott, T. D. Abbott, M. R. Abernathy, F. Acernese, K. Ackley, C. Adams, T. Adams, P. Addesso, R. X. Adhikari et al. Classical and Quantum Gravity, 35
2018
Closest in time.