Abstract: In this article, we propose a novel algorithm to obtain a solution to the clustering problem with an additional constraint of connectivity. This is achieved by suitably modifying K-Means ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data. FPCM constrains the ...

In addition to single-nucleotide variations and small insertions-deletions (indels), larger-sized structural variations (for example, insertions, deletions, inversions, segmental duplications and copy ...

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Kiev outpaces Russia in the technological race. Its advancements allow it to train AI drones and spy on Moscow with real-time ...

Tefi Pessoa is a mentor, a walking pop-culture encyclopedia, and now — along with Ciara Miller — one of the hosts of Love ...

Protecting creators themselves was another recurring theme.

Mark Cuban warns against investing in businesses with weak competitive moats. Here's what that could mean for your 401(k) and long-term retirement savings.

A grand jury indicts Louisiana’s attorney general in a fight over changes to the local courts ICE arrests 10,000 in 5 days, a sharp late-June surge in Trump’s deportation push Opinion The school ...

You don't need a lot of time, money or knowledge to put your money to work for you in the stock market: Robo-advisors use ...