Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

The next chapter for trading algorithms: Insight over access

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...
IEEE

The /spl alpha/-EM algorithm: surrogate likelihood maximization using /spl alpha/-logarithmic information measures

Abstract: A new likelihood maximization algorithm called the /spl alpha/-EM algorithm (/spl alpha/-expectation-maximization algorithm) is presented. This algorithm outperforms the traditional or ...

Cryo-EM helps identify the mechanisms of dental plaque formation

Periodontal (gum) disease is one of the most prevalent diseases worldwide, caused by the bacterium Porphyromonas gingivalis ...
Nature

What is the expectation maximization algorithm?

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 ...
IEEE

Weighted Contrastive Learning With Hard Negative Mining for Positive and Unlabeled Learning

Abstract: Positive and unlabeled (PU) learning aims to train a suitable classifier simply based on a set of positive data and unlabeled data. The state-of-the-art methods usually formulate PU learning ...
National Bureau of Economic Research

Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination

We perform a field experiment to measure racial discrimination in the labor market. We respond with fictitious resumes to help-wanted ads in Boston and Chicago newspapers. To manipulate perception of ...