Search Results for author: Ragja Palakkadavath

Found 2 papers, 0 papers with code

I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise

no code implementations18 Mar 2022 Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande, Niranjan Pedanekar

The approach incorporates insights and business rules from domain experts in the form of easily observable and specifiable constraints, which are used as weak supervision by a machine learning model.

Bayesian Neural Hawkes Process for Event Uncertainty Prediction

no code implementations29 Dec 2021 Manisha Dubey, Ragja Palakkadavath, P. K. Srijith

Therefore, we propose a novel point process model, Bayesian Neural Hawkes process (BNHP) which leverages uncertainty modelling capability of Bayesian models and generalization capability of the neural networks to model event occurrence times.

Decision Making Point Processes +1

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