Results for "probability mapping"

A parameterized mapping from inputs to outputs; includes architecture + learned parameters.

Strategy mapping states to actions.

Simultaneous Localization and Mapping for robotics.

Learning action mapping directly from demonstrations.

Samples from the k highest-probability tokens to limit unlikely outputs.

A model is PAC-learnable if it can, with high probability, learn an approximately correct hypothesis from finite samples.

A measure of randomness or uncertainty in a probability distribution.

Measures divergence between true and predicted probability distributions.

Measures how one probability distribution diverges from another.

Graphical model expressing factorization of a probability distribution.

Probability of treatment assignment given covariates.

Probability of data given parameters.

Describes likelihoods of random variable outcomes.