By remotely accessing an IBM quantum computer, a research scientist at Lawrence Berkeley National Laboratory has successfully ...

Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...

Barely-there footwear, fashioned from mesh and other semi-transparent fabrics, is being embraced by the high-end and the high street – but is anyone brave enough to actually wear it? Katie Rosseinsky ...

Abstract: Existing algorithms for estimating the model parameters of an explicit-duration hidden Markov model (HMM) usually require computations as large as O((MD/sup 2/ + M/sup 2/)T) or O(M/sup 2/ DT ...

A complete C++ implementation of the Python hmmlearn library, featuring modern C++17, Eigen for linear algebra, and comprehensive HMM algorithms. hmm_c++/ ├── include/ # Header files │ ├── types.hpp # ...

In this paper, we present a novel training method based on Baum-Welch algorithm for hidden Markov models (HMM), named as Comprehensive HMM (CompHMM), which changes the traditional approach of training ...

The US Justice Department today announced it filed an antitrust lawsuit against “six of the nation’s largest landlords for participating in algorithmic pricing schemes that harmed renters.” One of the ...

I am a PhD student at Carnegie Mellon University supervised by Taylor Berg-Kirkpatrick and Graham Neubig. I also collaborate with Kevin Gimpel at the Toyota Technological Institute at the University ...