Zobrazeno 1 - 10
of 287
pro vyhledávání: '"Sriraam Natarajan"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
We consider the problem of learning with sensitive features under the privileged information setting where the goal is to learn a classifier that uses features not available (or too sensitive to collect) at test/deployment time to learn a better mode
Externí odkaz:
https://doaj.org/article/5221005c5eba4d62893651d211111a2f
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
We consider the problem of active feature elicitation in which, given some examples with all the features (say, the full Electronic Health Record), and many examples with some of the features (say, demographics), the goal is to identify the set of ex
Externí odkaz:
https://doaj.org/article/d06b3b7ca8bf4d3ca698fe30e718e486
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
We consider the problem of learning generalized first-order representations of concepts from a small number of examples. We augment an inductive logic programming learner with 2 novel contributions. First, we define a distance measure between candida
Externí odkaz:
https://doaj.org/article/070b0c03e55e450a9012d6c6fe52f594
Autor:
Nandini Ramanan, Sriraam Natarajan
Publikováno v:
Frontiers in Big Data, Vol 3 (2020)
We consider the problem of learning structured causal models from observational data. In this work, we use causal Bayesian networks to represent causal relationships among model variables. To this effect, we explore the use of two types of independen
Externí odkaz:
https://doaj.org/article/9cac4d4a0429444ebbb1672290d883c8
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Externí odkaz:
https://doaj.org/article/dd8250caaae74498ade0730062a04be1
Autor:
Phillip Odom, Sriraam Natarajan
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
Advice-giving has been long explored in the artificial intelligence community to build robust learning algorithms when the data is noisy, incorrect or even insufficient. While logic based systems were effectively used in building expert systems, the
Externí odkaz:
https://doaj.org/article/64a6b19ddfc048889599fa7a4d8f3309
Autor:
Srinivasulu, Avvaru1,2,3, Sriraam, Natarajan4 sriraam@msrit.edu
Publikováno v:
Journal of Medical Signals & Sensors. Jul-Sep2023, Vol. 13 Issue 3, p239-251. 13p.
Autor:
Raghu, S., Sriraam, Natarajan, Gommer, Erik D., Hilkman, Danny M.W., Temel, Yasin, Rao, Shyam Vasudeva, Kubben, Pieter L.
Publikováno v:
In Neurocomputing 24 September 2020 407:385-398
Autor:
Raghu, S., Sriraam, Natarajan, Gommer, Erik D., Hilkman, Danny M.W., Temel, Yasin, Rao, Shyam Vasudeva, Hegde, Alangar Satyaranjandas, Kubben, Pieter L
Publikováno v:
In Clinical Neurophysiology July 2020 131(7):1567-1578
Publikováno v:
In Neural Networks April 2020 124:202-212