MLPACK is a state-of-the-art, scalable, multi-platform C++ machine learning library released
in late 2011 offering both a simple, consistent API accessible to novice users and high …

The speed with which a learning algorithm converges as it is presented with more data is a
central problem in machine learning—a fast rate of convergence means less data is needed …

Regulatable CAR platforms could circumvent toxicities associated with CAR-T therapy, but
existing systems have shortcomings including leakiness and attenuated activity. Here, we …

We present new excess risk bounds for general unbounded loss functions including log
loss and squared loss, where the distribution of the losses may be heavy-tailed. The bounds …

V-domain immunoglobulin (Ig) suppressor of T cell activation (VISTA) is an immune checkpoint
protein that inhibits the T cell response against cancer. Similar to PD-1 and CTLA-4, a …

The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) on the Mars
Reconnaissance Orbiter (MRO) collected hyperspectral images of the Martian surface and …

All clinically approved antibodies are of the IgG isotype and mediate the clearance of target
cells via binding to Fcγ receptors and complement (C1q). Even though IgA can elicit powerful …

Without pigments, we are nothing. Life presents us with a kaleidoscope of colors. From the
green grass of home to a forest's ruddy autumn hues, we are surrounded by living colors. …

We present CAPE, our Continuous Adaptive Query Processing Engine, that is designed to
efficiently evaluate continuous queries in highly dynamic stream environments with the …

We present an algorithm for the statistical learning setting with a bounded exp-concave loss
in d dimensions that obtains excess risk $ O (d\log (1/δ)/n) $ with probability $1-δ $. The …