Search Results for author:
Found 5 papers, 1 papers with code
Optimizing Multi-Domain Performance with Active Learning-based Improvement Strategies
Improving performance in multiple domains is a challenging task, and often requires significant amounts of data to train and test models.
Identifying Trades Using Technical Analysis and ML/DL Models
The importance of predicting stock market prices cannot be overstated.
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?
Supervised machine learning, in which models are automatically derived from labeled training data, is only as good as the quality of that data.
Hindi History Note Generation with Unsupervised Extractive Summarization
In this work, the task of extractive single document summarization applied to an education setting to generate summaries of chapters from grade 10 Hindi history textbooks is undertaken.
Applied Machine Learning for Games: A Graduate School Course
Our students gained hands-on experience in applying state of the art machine learning techniques to solve real-life problems in gaming.
