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 ...

Abstract: Seeding conflict in online society is a public issue obtaining increasing attention. In this paper, we take a step to study the problem of maximizing conflict in online social networks from ...

As capital costs rise, companies need a disciplined way to allocate resources without abandoning commitments to employees, customers, and the environment. Here’s how to find that balance. by Michael ...

The next frontier is inside before it is technical. We need to retrain our attention, measure what matters, and protect what must first be noticed before it can be valued.

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Franco Colapinto was classified tenth at the Barcelona-Catalunya Grand Prix, giving Alpine a double-points finish alongside ...

Introduction Never before in human history has a small minority wielded this degree of control over the lives of the majority ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...