Zobrazeno 1 - 10
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pro vyhledávání: '"Gangrade A"'
We establish a new theoretical framework for learning under multi-class, instance-dependent label noise. This framework casts learning with label noise as a form of domain adaptation, in particular, domain adaptation under posterior drift. We introdu
Externí odkaz:
http://arxiv.org/abs/2411.00079
While the recent literature has seen a surge in the study of constrained bandit problems, all existing methods for these begin by assuming the feasibility of the underlying problem. We initiate the study of testing such feasibility assumptions, and i
Externí odkaz:
http://arxiv.org/abs/2406.15648
With the exponential growth of digital data and the increasing complexity of legal documentation, there is a pressing need for efficient and intelligent tools to streamline the handling of legal documents.With the recent developments in the AI field,
Externí odkaz:
http://arxiv.org/abs/2311.12719
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Knee osteoarthritis (KOA) represents a well-documented degenerative arthropathy prevalent among the elderly population. KOA is a persistent condition, also referred to as progressive joint Disease, stemming from the continual deterioration o
Externí odkaz:
https://doaj.org/article/9d890839547b4d40b7d9410041b4128d
Abstaining classifiers have the option to abstain from making predictions on inputs that they are unsure about. These classifiers are becoming increasingly popular in high-stakes decision-making problems, as they can withhold uncertain predictions to
Externí odkaz:
http://arxiv.org/abs/2305.10564
On observing a sequence of i.i.d.\ data with distribution $P$ on $\mathbb{R}^d$, we ask the question of how one can test the null hypothesis that $P$ has a log-concave density. This paper proves one interesting negative and positive result: the non-e
Externí odkaz:
http://arxiv.org/abs/2301.03542
Autor:
Abhishek Jain, Rohit Raja, Sumit Srivastava, Prakash Chandra Sharma, Jayesh Gangrade, Manoj R
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol 12, Iss 1 (2024)
Early illness diagnosis and prediction are important goals in healthcare in order to offer timely preventive measures. The best, least invasive, and most reliable way for identifying any neurological disorder is EEG analysis. If neurological disorder
Externí odkaz:
https://doaj.org/article/c0c86e8e1a7649d0b894d4c974c49ae8
The safe linear bandit problem (SLB) is an online approach to linear programming with unknown objective and unknown roundwise constraints, under stochastic bandit feedback of rewards and safety risks of actions. We study the tradeoffs between efficac
Externí odkaz:
http://arxiv.org/abs/2209.13694
We investigate a natural but surprisingly unstudied approach to the multi-armed bandit problem under safety risk constraints. Each arm is associated with an unknown law on safety risks and rewards, and the learner's goal is to maximise reward whilst
Externí odkaz:
http://arxiv.org/abs/2204.00706
Autor:
Pratyush, Pawel, Gangrade, Akshata
We are at a unique timeline in the history of human evolution where we may be able to discover earth-like planets around stars outside our solar system where conditions can support life or even find evidence of life on those planets. With the launch
Externí odkaz:
http://arxiv.org/abs/2112.03298