Beta-Bernoulli Calibrator (BBC) is a lightweight, model-agnostic post-hoc calibrator that converts an LLM's verbalized point forecast into a mixture of Beta distributions over the latent event ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: Bernoulli multi-armed bandits are a reinforcement learning model used to study a variety of choice optimization problems. Often such optimizations concern a finite-time horizon. In principle ...

EMBED <iframe src="https://archive.org/embed/sgng.20965-numerical-solution-of-highdimensional-partial-differential-equati" width="560" height="384" frameborder="0 ...

Abstract: This paper proposes an efficient implementation of the multi-sensor generalized labeled multi-Bernoulli (GLMB) filter. Like its single-sensor counterpart, such implementation requires ...