Dell Products Inc.

Kuruba Ajay Kumar

Saurabh Jha

Priya Shanmugasundaram

Sailendu Kumar Patra

Srishti Gupta

Techniques described herein relate to a method for performing knowledge extraction and noise removal for prediction models. The method includes obtaining, by a prediction system, live tabular data; in response to obtaining live tabular data: performing data preprocessing on the live tabular data to generate processed live tabular data; generating a knowledge vector based on the processed live tabular data using a dimensionality reduction model and a tabular attention model; generating a prediction using a prediction model and the knowledge vector; and providing the prediction to a client; wherein the client performs prediction processing using the prediction.

Method and system for performing noise removal and knowledge extraction to improve prediction model performance

A method for automatically responding to a user input includes receiving the user input. The method also includes identifying a current domain associated with the user input. Further, the method includes determining, using a previously trained learning model, a first belief state, where the first belief state is based on the current domain. In addition, the method includes determining, using a reinforcement learning model, a second belief state, where the second belief state is based on the current domain and a reward information. Moreover, the method includes determining an action based on the user input and one selected from the group consisting of the first belief state and the second belief state. Also, the method includes generating a response based on the action and presenting the response to a user.

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Anantapur, India

Kuruba Ajay Kumar