Results for "compute-data-performance"

Neural networks that operate on graph-structured data by propagating information along edges.

Probabilistic model for sequential data with latent states.

Models that learn to generate samples resembling training data.

Sequential data indexed by time.

Identifying abrupt changes in data generation.

Trend reversal when data is aggregated improperly.

Competitive advantage from proprietary models/data.

Probability of data given parameters.

Updated belief after observing data.

Belief before observing data.

Software pipeline converting raw sensor data into structured representations.

Inferring the agent’s internal state from noisy sensor data.

Learning physical parameters from data.

Artificial sensor data generated in simulation.

Combining simulation and real-world data.

Requirement to preserve relevant data.

Finding mathematical equations from data.

Human or automated process of assigning targets; quality, consistency, and guidelines matter heavily.

Shift in feature distribution over time.

Privacy risk analysis under GDPR-like laws.