Human surgery and autopsy specimens are routinely stored as formalin-fixed paraffin-embedded (FFPE) tissue blocks for decades, creating vast archives of healthy and diseased tissues. While tissue ...
Figuring out how to start machine learning can feel overwhelming. The field spans mathematics, programming, data engineering, and domain expertise. Courses number in the thousands. Frameworks multiply ...
XGBoost is a widely used gradient-boosted tree implementation for structured regression problems. Common applications include house prices, insurance claims, and energy consumption forecasts. It is ...
This simulator implements the "Fictitious Mean-field Reinforcement-Learning" for Q-learning, Actor Critic and Stochastic Gradient Ascent algorithms in a distributed system. The setting includes ...
This repository contains the official implementation of the following paper: MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large ...
Autonomous robots operating in uncertain or hazardous environments subject to state safety constraints must be able to identify and isolate faulty components in a time-optimal manner. When the ...
Making optimal decisions in the face of noise requires balancing short-term speed and accuracy. But a theory of optimality should account for the fact that short-term speed can influence long-term ...
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