Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Luus, Francois"'
Autor:
Luus, Francois Pierre Sarel
Technological innovation that empowers tiny low-cost transceivers to operate with a high degree of utilisation efficiency in multihop wireless mesh networks is contributed in this dissertation. Transmission scheduling and joint source-channel-network
Externí odkaz:
http://hdl.handle.net/2263/28903
http://upetd.up.ac.za/thesis/available/etd-10212011-075724/
http://upetd.up.ac.za/thesis/available/etd-10212011-075724/
Autor:
Neelam, Sumit, Sharma, Udit, Karanam, Hima, Ikbal, Shajith, Kapanipathi, Pavan, Abdelaziz, Ibrahim, Mihindukulasooriya, Nandana, Lee, Young-Suk, Srivastava, Santosh, Pendus, Cezar, Dana, Saswati, Garg, Dinesh, Fokoue, Achille, Bhargav, G P Shrivatsa, Khandelwal, Dinesh, Ravishankar, Srinivas, Gurajada, Sairam, Chang, Maria, Uceda-Sosa, Rosario, Roukos, Salim, Gray, Alexander, Lima, Guilherme, Riegel, Ryan, Luus, Francois, Subramaniam, L Venkata
Knowledge Base Question Answering (KBQA) tasks that involve complex reasoning are emerging as an important research direction. However, most existing KBQA datasets focus primarily on generic multi-hop reasoning over explicit facts, largely ignoring o
Externí odkaz:
http://arxiv.org/abs/2201.05793
Autor:
Neelam, Sumit, Sharma, Udit, Karanam, Hima, Ikbal, Shajith, Kapanipathi, Pavan, Abdelaziz, Ibrahim, Mihindukulasooriya, Nandana, Lee, Young-Suk, Srivastava, Santosh, Pendus, Cezar, Dana, Saswati, Garg, Dinesh, Fokoue, Achille, Bhargav, G P Shrivatsa, Khandelwal, Dinesh, Ravishankar, Srinivas, Gurajada, Sairam, Chang, Maria, Uceda-Sosa, Rosario, Roukos, Salim, Gray, Alexander, Riegel, Guilherme LimaRyan, Luus, Francois, Subramaniam, L Venkata
Knowledge Base Question Answering (KBQA) tasks that in-volve complex reasoning are emerging as an important re-search direction. However, most KBQA systems struggle withgeneralizability, particularly on two dimensions: (a) acrossmultiple reasoning ty
Externí odkaz:
http://arxiv.org/abs/2109.13430
Autor:
Sen, Prithviraj, Carvalho, Breno W. S. R., Abdelaziz, Ibrahim, Kapanipathi, Pavan, Luus, Francois, Roukos, Salim, Gray, Alexander
Recent interest in Knowledge Base Completion (KBC) has led to a plethora of approaches based on reinforcement learning, inductive logic programming and graph embeddings. In particular, rule-based KBC has led to interpretable rules while being compara
Externí odkaz:
http://arxiv.org/abs/2109.09566
Autor:
Luus, Francois, Sen, Prithviraj, Kapanipathi, Pavan, Riegel, Ryan, Makondo, Ndivhuwo, Lebese, Thabang, Gray, Alexander
Answering logical queries over incomplete knowledge bases is challenging because: 1) it calls for implicit link prediction, and 2) brute force answering of existential first-order logic queries is exponential in the number of existential variables. R
Externí odkaz:
http://arxiv.org/abs/2103.00418
Autor:
Kapanipathi, Pavan, Abdelaziz, Ibrahim, Ravishankar, Srinivas, Roukos, Salim, Gray, Alexander, Astudillo, Ramon, Chang, Maria, Cornelio, Cristina, Dana, Saswati, Fokoue, Achille, Garg, Dinesh, Gliozzo, Alfio, Gurajada, Sairam, Karanam, Hima, Khan, Naweed, Khandelwal, Dinesh, Lee, Young-Suk, Li, Yunyao, Luus, Francois, Makondo, Ndivhuwo, Mihindukulasooriya, Nandana, Naseem, Tahira, Neelam, Sumit, Popa, Lucian, Reddy, Revanth, Riegel, Ryan, Rossiello, Gaetano, Sharma, Udit, Bhargav, G P Shrivatsa, Yu, Mo
Knowledge base question answering (KBQA)is an important task in Natural Language Processing. Existing approaches face significant challenges including complex question understanding, necessity for reasoning, and lack of large end-to-end training data
Externí odkaz:
http://arxiv.org/abs/2012.01707
Autor:
Riegel, Ryan, Gray, Alexander, Luus, Francois, Khan, Naweed, Makondo, Ndivhuwo, Akhalwaya, Ismail Yunus, Qian, Haifeng, Fagin, Ronald, Barahona, Francisco, Sharma, Udit, Ikbal, Shajith, Karanam, Hima, Neelam, Sumit, Likhyani, Ankita, Srivastava, Santosh
We propose a novel framework seamlessly providing key properties of both neural nets (learning) and symbolic logic (knowledge and reasoning). Every neuron has a meaning as a component of a formula in a weighted real-valued logic, yielding a highly in
Externí odkaz:
http://arxiv.org/abs/2006.13155
An ML-based system for interactive labeling of image datasets is contributed in TensorBoard Projector to speed up image annotation performed by humans. The tool visualizes feature spaces and makes it directly editable by online integration of applied
Externí odkaz:
http://arxiv.org/abs/1901.00675
Autor:
Luus, Francois Pierre Sarel
Multimodal dataset shifts consisting of both concept and covariate shifts are addressed in this study to improve texture-based land-use classification accuracy for optical panchromatic and multispectral remote sensing. Multitemporal and multisensor v
Externí odkaz:
http://hdl.handle.net/2263/56246
Autor:
Luus Francois, Maharaj Bodhaswar
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2011, Iss 1, p 84 (2011)
Abstract Link-assigned transmission schedules with timeslot reuse by multiple links in both the space and time domains are investigated in this study for stationary multihop wireless mesh networks with both rate and power adaptivity. Specifically, cr
Externí odkaz:
https://doaj.org/article/53ec43a150fb48d4b5a3d6ae86fecd3e
