Zobrazeno 1 - 10
of 685
pro vyhledávání: '"Ranchod A"'
Autor:
Fiore, Marcelo, Ranchod, Sanjiv
Over the topos of sets, the notion of Lawvere theory is infinite countably-sorted algebraic but not one-sorted algebraic. Shifting viewpoint over the object-classifier topos, a finite algebraic presentation of Lawvere theories is considered.
Externí odkaz:
http://arxiv.org/abs/2408.08980
Reinforcement learning (RL) has progressed substantially over the past decade, with much of this progress being driven by benchmarks. Many benchmarks are focused on video or board games, and a large number of robotics benchmarks lack diversity and re
Externí odkaz:
http://arxiv.org/abs/2407.14516
Autor:
Ranchod, S., Mao, S. A., Deane, R., Sridhar, S. S., Damas-Segovia, A., Livingston, J. D., Ma, Y. K.
Publikováno v:
A&A 686, A104 (2024)
The S-band Polarisation All Sky Survey (SPASS/ATCA) rotation measure (RM) catalogue is the largest broadband RM catalogue to date, increasing the RM density in the sparse southern sky. Through analysis of this catalogue, we report a latitude dependen
Externí odkaz:
http://arxiv.org/abs/2403.13500
Autor:
Gonzalez, Claudia1 (AUTHOR) cgonzalez@tru.ca, Ranchod, Supreeta2 (AUTHOR), Rakobowchuk, Mark2 (AUTHOR)
Publikováno v:
PLoS ONE. 10/14/2024, Vol. 19 Issue 10, p1-25. 25p.
The Hubble Frontier Fields (HFF) are a selection of well-studied galaxy clusters used to probe dense environments and distant gravitationally lensed galaxies. We explore the 21cm neutral hydrogen (HI) content of galaxies in three of the HFF clusters,
Externí odkaz:
http://arxiv.org/abs/2111.10286
Autor:
Knowles, K., Cotton, W. D., Rudnick, L., Camilo, F., Goedhart, S., Deane, R., Ramatsoku, M., Bietenholz, M. F., Brüggen, M., Button, C., Chen, H., Chibueze, J. O., Clarke, T. E., de Gasperin, F., Ianjamasimanana, R., Józsa, G. I. G., Hilton, M., Kesebonye, K. C., Kolokythas, K., Kraan-Korteweg, R. C., Lawrie, G., Lochner, M., Loubser, S. I., Marchegiani, P., Mhlahlo, N., Moodley, K., Murphy, E., Namumba, B., Oozeer, N., Parekh, V., Pillay, D. S., Passmoor, S. S., Ramaila, A. J. T., Ranchod, S., Retana-Montenegro, E., Sebokolodi, L., Sikhosana, S. P., Smirnov, O., Thorat, K., Venturi, T., Abbott, T. D., Adam, R. M., Adams, G., Aldera, M. A., Bauermeister, E. F., Bennett, T. G. H., Bode, W. A., Botha, D. H., Botha, A. G., Brederode, L. R. S., Buchner, S., Burger, J. P., Cheetham, T., de Villiers, D. I. L., Dikgale-Mahlakoana, M. A., Toit, L. J. du, Esterhuyse, S. W. P., Fadana, G., Fanaroff, B. L., Fataar, S., Foley, A. R., Fourie, D. J., Frank, B. S., Gamatham, R. R. G., Gatsi, T. G., Geyer, M., Gouws, M., Gumede, S. C., Heywood, I., Hlakola, M. J., Hokwana, A., Hoosen, S. W., Horn, D. M., Horrell, J. M. G., Hugo, B. V., Isaacson, A. R., Jonas, J. L., Jordaan, J. D. B., Joubert, A. F., Julie, R. P. M., Kapp, F. B., Kasper, V. A., Kenyon, J. S., Kotzé, P. P. A., Kotze, A. G., Kriek, N., Kriel, H., Krishnan, V. K., Kusel, T. W., Legodi, L. S., Lehmensiek, R., Liebenberg, D., Lord, R. T., Lunsky, B. M., Madisa, K., Magnus, L. G., Main, J. P. L., Makhaba, A., Makhathini, S., Malan, J. A., Manley, J. R., Marais, S. J., Maree, M. D. J., Martens, A., Mauch, T., McAlpine, K., Merry, B. C., Millenaar, R. P., Mokone, O. J., Monama, T. E., Mphego, M. C., New, W. S., Ngcebetsha, B., Ngoasheng, K. J., Ockards, M. T., Otto, A. J., Patel, A. A., Peens-Hough, A., Perkins, S. J., Ramanujam, N. M., Ramudzuli, Z. R., Ratcliffe, S. M., Renil, R., Robyntjies, A., Rust, A. N., Salie, S., Sambu, N., Schollar, C. T. G., Schwardt, L. C., Schwartz, R. L., Serylak, M., Siebrits, R., Sirothia, S. K., Slabber, M., Sofeya, L., Taljaard, B., Tasse, C., Tiplady, A. J., Toruvanda, O., Twum, S. N., van Balla, T. J., van der Byl, A., van der Merwe, C., van Dyk, C. L., Van Tonder, V., Van Wyk, R., Venter, A. J., Venter, M., Welz, M. G., Williams, L. P., Xaia, B.
MeerKAT's large number of antennas, spanning 8 km with a densely packed 1 km core, create a powerful instrument for wide-area surveys, with high sensitivity over a wide range of angular scales. The MeerKAT Galaxy Cluster Legacy Survey (MGCLS) is a pr
Externí odkaz:
http://arxiv.org/abs/2111.05673
Autor:
Jenifer Vaughan, Moosa Patel, Melinda Suchard, Maemu Gededzha, Heena Ranchod, Wayne Howard, Tracy Snyman, Tracey Wiggill
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
IntroductionDiffuse large B-cell lymphoma (DLBCL) is an aggressive malignancy of B-cells frequently encountered among people living with HIV. Immunological abnormalities are common in immunocompetent individuals with DLBCL, and are often associated w
Externí odkaz:
https://doaj.org/article/1767053c109b41c2b7856db139f6ad48
Autor:
Ranchod, Shilpa, Deane, Roger P., Ponomareva, Anastasia A., Blecher, Tariq, Frank, Bradley S., Jarvis, Matt J., Maddox, Natasha, Mulaudzi, Wanga, Glowacki, Marcin, Hess, Kelley M., Tudorache, Madalina, Verdes-Montenegro, Lourdes, Adams, Nathan J., Bowler, Rebecca A. A., Collier, Jordan D., Taylor, Russ
We present the serendipitous discovery of a galaxy group in the XMM-LSS field with MIGHTEE Early Science observations. Twenty galaxies are detected in HI in this $z\sim0.044$ group, with a $3\sigma$ column density sensitivity of $N_\mathrm{HI} = 1.6\
Externí odkaz:
http://arxiv.org/abs/2107.01237
Autor:
Ranchod, Heena1,2 (AUTHOR) heena.ranchod@gmail.com, Howard, Wayne1,2 (AUTHOR), Roux, Adele3 (AUTHOR), Zyl, Walda van4 (AUTHOR), Ekermans, Pieter5 (AUTHOR), van den Berg, Sylvia6 (AUTHOR), Seakamela, Lerato1 (AUTHOR), Makua, Koketso1 (AUTHOR), Yousif, Mukhlid1,7 (AUTHOR), Sibiya, Rosinah1 (AUTHOR), Plessis, Heleen Du1 (AUTHOR), Phalane, Emmanuel1,7 (AUTHOR), McCarthy, Kerrigan1 (AUTHOR), Moonsamy, Shelina1 (AUTHOR), Reynders, David8 (AUTHOR), Hincks, Jeffrey9 (AUTHOR), Suchard, Melinda S1,2 (AUTHOR), Plessis, Nicolette M du8 (AUTHOR)
Publikováno v:
Open Forum Infectious Diseases. Feb2024, Vol. 11 Issue 2, p1-5. 5p.
We present a method for learning options from segmented demonstration trajectories. The trajectories are first segmented into skills using nonparametric Bayesian clustering and a reward function for each segment is then learned using inverse reinforc
Externí odkaz:
http://arxiv.org/abs/2001.06793