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Found 3 papers, 1 papers with code
Experimental Design for Bathymetry Editing
We describe an application of machine learning to a real-world computer assisted labeling task.
Faster Boosting with Smaller Memory
State-of-the-art implementations of boosting, such as XGBoost and LightGBM, can process large training sets extremely fast.
Tell Me Something New: A New Framework for Asynchronous Parallel Learning
We present a novel approach for parallel computation in the context of machine learning that we call "Tell Me Something New" (TMSN).
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