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: We study the problem of incorporating risk while making combinatorial decisions under uncertainty. We formulate a discrete submodular maximization problem for selecting a set using ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Women are earning, saving and investing more than ever. Yet despite that progress, wealth ...

Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate. Researchers at ...

Please tell us one “holy @#$!” moment about running your business — an unexpected problem you faced and how you overcame it. One day in 2020, we arrived in the office and found out that due to COVID, ...

Sign up for the daily CJR newsletter. In 2019, Megan Greenwell was the editor in chief of Deadspin, a thriving sports blog, when its parent company, Gizmodo Media ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

Former Sr. Home & Kitchen Editor. I've tested everything from chef's knives to olive oils to bath mats. Some of the best juicers come from Hurom, Ninja and Nama. If you’re having a hard time deciding ...

NetMax is a Python library that provides the implementation of several algorithms for the problem of Influence Maximization in Social Networks, originally formulated in "Maximizing the Spread of ...

Abstract: Non-orthogonal multiple access (NOMA) systems have the potential to deliver higher system throughput, compared with contemporary orthogonal multiple access techniques. For a linearly ...

An effective way of finding the most influential nodes in a temporal network without knowing everything about it (aka in an online way). The current (2020) Influence Maximization literature is mainly ...