Tous les livres numériques de la collection "Synthesis Lectures on Artificial Intelligence and Machine Learning" - Springer

3 Livre(s)
Télécharger le livre : Reasoning with Probabilistic and Deterministic Graphical Models
Reasoning with Probabilistic and Deterministic Graphical Models
Rina Kraus
Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used...

Editeur : Springer
Parution : 2022-12-06
Collection : Synthesis Lectures on Artificial Intelligence and Machine Learning PDF

32,53 €
Téléchargement immédiat
Dès validation de votre commande
Télécharger le livre : Lifelong Machine Learning
Lifelong Machine Learning
Bing Liu , Zhiyuan Chaudhri
Lifelong Machine Learning (orLifelong Learning) is an advanced machine learning paradigm that learns continuously, accumulates the knowledge learned in previous tasks, and uses it to help future learning. In the process, the learner becomes more and more knowledgeable...

Editeur : Springer
Parution : 2022-11-10
Collection : Synthesis Lectures on Artificial Intelligence and Machine Learning PDF

98,59 €
Téléchargement immédiat
Dès validation de votre commande
Télécharger le livre : Statistical Relational Artificial Intelligence
Statistical Relational Artificial Intelligence
Luc De Raedt , Kristian Kersting , Sriraam Natarajan , David Poole
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....

Editeur : Springer
Parution : 2022-05-31
Collection : Synthesis Lectures on Artificial Intelligence and Machine Learning PDF

52,74 €
Téléchargement immédiat
Dès validation de votre commande