Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance ...

Learning spatially adaptive L1 norms weights for convolutional synthesis-based regularization using algorithm unrolling. We are currently working on integrating all necessary building blocks for the ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Researchers have developed a machine-learning workflow to optimize the output force of photo-actuated organic crystals. Using ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions—but there is always room ...