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Enhancing molecular machine learning with quantum-chemical insight
Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...
How to Make AI Faster and Smarter—With a Little Help From Physics
Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...
Search Engine Land3y
A guide to machine learning in search: Key terms, concepts and algorithms
Search Engine Land » SEO » A guide to machine learning in search: Key terms, concepts and algorithms Chat with SearchBot Please note that your conversations will be recorded. When it comes to ...
ascopubs.org4y
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features
A standard multivariable logistic regression (MLR) was developed and compared with five ML models: k-nearest neighbor classifier, random forest (RF) classifier, naive Bayes algorithm, support vector ...
ascopubs.org6y
Prediction of Atypical Ductal Hyperplasia Upgrades Through a Machine Learning Approach to Reduce Unnecessary Surgical Excisions
The following six machine learning models were developed to predict ADH upgrade from core needle biopsy: gradient-boosting trees, random forest, radial support vector machine (SVM), weighted K-nearest ...