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: To address the challenge of detecting weak targets obscured by strong sea clutter and noise in complex maritime environments, this article presents a robust sea clutter suppression method.

Cook County's machine-learning tax model made assessments fairer, yet homeowner bills soared. The appeals system, not the algorithm, is the culprit.

VANCOUVER — Chelsey Whittingham remembers her daughter as a loving, driven, funny 13-year-old, who enjoyed gymnastics and ...

Last year, data from Mexico's Secretariat of National Defense showed that the number of women arrested for crimes linked to ...

VANCOUVER — Chelsey Whittingham remembers her daughter as a loving, driven, funny 13-year-old, who enjoyed gymnastics and ...

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

Abstract: Along with the abundant appearance of the interval-valued time series (ITS), the study on ITS clustering, especially shape-based ITS clustering, is becoming increasingly important. As an ...

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EXCLUSIVE: Humans will be able to reject funding decisions made by the government’s controversial aged care algorithm - ...

TikTok's parent company, ByteDance, settled a lawsuit with a Florida teen who claimed the platform's design contributed to ...