JavaScript parece estar deshabilitado en tu navegador. Para la mejor experiencia en nuestro sitio, asegúrate de activar JavaScript en tu navegador.

SKU/Artículo: AMZ-3031000226

Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Format:

Hardcover

Detalles del producto

Disponibilidad:
En stock

Peso con empaque:
0.55 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.

AR$125.409

31% OFF

AR$86.495

AR$125.409

31% OFF

AR$86.495

Llega en 18 a 28 días hábiles

Tienes garantía de entrega

Medios de pago

Cantidad

Este producto viaja de USA

a tus manos en

Medios de pago