Télécharger le livre :  Toward Robots That Reason: Logic, Probability & Causal Laws
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This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and acquisition of knowledge from observational data, and the reasoning of that knowledge together with whatever information is...

Editeur : Springer
Parution : 2023-02-20
Collection : Synthesis Lectures on Artificial Intelligence and Machine Learning
PDF, ePub

42,19
Télécharger le livre :  Reasoning with Probabilistic and Deterministic Graphical Models
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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
Télécharger le livre :  Lifelong Machine Learning
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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
Télécharger le livre :  Statistical Relational Artificial Intelligence
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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