IEEE

Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification

Abstract: This work proposes a decision tree (DT)-based method for initializing a dendritic neuron model (DNM). Neural networks become larger and larger, thus consuming more and more computing ...
University of Oslo

STK2100 – Machine Learning and Statistical Methods for Prediction and Classification

STK2100 gives an introduction to different methods for supervised learning (regression and classification). The course contains both model and algorithm based approaches. The main focus is supervised ...
IEEE

Fusing Monotonic Decision Tree Based on Related Family

Abstract: Monotonic classification is a special ordinal classification task that involves monotonicity constraints between features and the decision. Monotonic feature selection can reduce ...
Johns Hopkins Medicine

Johns Hopkins Physicians Achieve 95% Cure Rate for Sickle Cell Disease with Bone Marrow Transplant

MSN via Barron Kerry Stewart, an exercise physiologist and professor of medicine at Johns Hopkins, says exercise capacity "definitely declines" as we age. "With regular exercise, the decline won't be ...