SMAC offers a robust and flexible framework for Bayesian Optimization to support users in determining well-performing hyperparameter configurations for their (Machine Learning) algorithms, datasets ...

For the C++ library itself, you need no additional libaries, only a C++11 capable compiler. Technically, you need Boost if you want to compile the unit tests. The development is done using GCC 7.2.

We present LABKIT, a user-friendly Fiji plugin for the segmentation of microscopy image data. It offers easy to use manual and automated image segmentation routines that can be rapidly applied to ...

Combines ideas from data science, humanities and social sciences. Views are my own. Random forest is one of the most popular algorithms for multiple machine learning tasks. This story looks into ...

Conventional drug discovery is long and costly, and suffers from high attrition rates, often leaving patients with limited or expensive treatment options. Recognizing the overwhelming need to ...

In this post, we will explore how to use automated machine learning (AutoML) to create new machine learning models over your data in SQL Server 2019 big data clusters. Manually selecting and tuning ...