Karthik Bangalore Mani

Title: Karthik Bangalore Mani: Machine Learning and Data Classification Patents.

Introduction

Karthik Bangalore Mani is an inventor based in Bengaluru, India. His patent work focuses on machine learning methods for handling time-dependent data and classifying products from textual descriptions. He is associated with Oracle International Corporation and holds 2 patents.

Latest Patents

**Machine Learning Model Generation for Time Dependent Data.** This invention describes a process for generating a machine learning model using time-dependent training data. The method divides the data according to different dates, creates multiple training and testing splits using varying ratios, and compares the distributions of each pair of datasets. It selects the split with the smallest distribution difference, then uses that split to train and test the model.

**Machine Learning Based Spend Classification.** This invention classifies a product into a category based on its textual description. It combines several classification approaches, including index-based, encyclopedia-based, Bayes’ rule-based, and embeddings classifiers, to identify the product category.

Career Highlights

Mani’s listed inventions apply machine learning to practical data challenges: selecting representative training and testing data for time-dependent information and categorizing products from text. His work is associated with Oracle International Corporation.

Collaborations

His listed coworkers include Krishnan Ramanathan and Dipawesh Pawar.

Conclusion

Karthik Bangalore Mani’s patents reflect a focus on machine learning techniques for reliable model evaluation and automated product classification.