Inference

Related lectures (30)

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Focuses on the inference of reaction kinetics in combustion, covering rules inference, sensitivity analysis, and Bayesian inference.

Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.

Explores uncertain reasoning, Bayesian networks, and stochastic resolution, emphasizing the importance of probabilistic logic and abduction.

Covers the concept of logical equivalence in proofs and inference rules.

Explores abductive reasoning, search algorithms, and heuristic search for problem-solving.

Provides an overview of lambda calculus, type safety, and type inference in programming languages.

Explores high-resolution Bayesian mapping of landslide hazard, emphasizing the significance of capturing unobserved triggers like rainfall intensity.

Explores expert systems, backward chaining, and uncertainty through fuzzy logic in practical applications.

Demonstrates logic programming with examples and rules, showcasing a tool for practical application.

Explains exercise solutions on the semantic web using dictionaries and inference rules.