Our current research focus is on deep/reinforcement learning, distributed machine learning, and graph learning. Other research projects from our group include learning to rank, computational ...

Hand, D.J. (2009) Measuring Classifier Performance A Coherent Alternative to the Area under the ROC Curve. Machine Learning, 77, 103-123.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. The goal is then to ...

Specifically, our objectives include: develop a spatio-temporal machine learning model to forecast acute malnutrition among children in Kenya using DHIS2 data, enhance forecasting capability by ...

The hyperparameters that generated the largest area under the receiver operator characteristic curve (AUC) were chosen. See online supplemental table 2 for details of the selected hyperparameter ...

Machine-learning pioneer Yann LeCun on why “a new revolution in AI” is coming Our podcast on science and technology. Meta’s chief AI scientist and one of the “godfathers” of machine ...

Download this Machine Learning Icon Set Solid Icon Collection Vector Illustration Stock Illustration Icon Symbol Artificial Intelligence Technology Robot vector illustration now. And search more of ...

Introduction: Although left bundle branch area pacing (LBBAP) has become a popular approach to physiologic pacing in heart failure (HF), there is still substantial uncertainty regarding ECG predictors ...