Results for "mapping"

Strategy mapping states to actions.

Simultaneous Localization and Mapping for robotics.

Learning a function from input-output pairs (labeled data), optimizing performance on predicting outputs for unseen inputs.

A continuous vector encoding of an item (word, image, user) such that semantic similarity corresponds to geometric closeness.

Designing input features to expose useful structure (e.g., ratios, lags, aggregations), often crucial outside deep learning.

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

The learned numeric values of a model adjusted during training to minimize a loss function.

Generator produces limited variety of outputs.

Exact likelihood generative models using invertible transforms.

Changing speaker characteristics while preserving content.

Variable whose values depend on chance.

Visualization of optimization landscape.

Software pipeline converting raw sensor data into structured representations.

Algorithm computing control actions.

Learning action mapping directly from demonstrations.

Estimating robot position within a map.

Fast approximation of costly simulations.