Home > Tags: probabilistic (Total 46 Records)
Probabilistic Approaches to Recommendations (Synthesis Lectures on Data Mining and Knowledge Discovery)
Computer Science By:Nicola Barbieri 2014-06-01 00:00:00
ISBN10:1627052577 ISBN13:9781627052573
The importance of accurate recommender systems has been widely recognized by academia and industry, and recommendation is rapidly becoming one of the most successful applications of data mining and machine learning. Understanding and predicting the choices and preferences of users is a challenging t Computer Science
Tags: data approach lecture synthesis mining knowledge discovery probabilistic
Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Algorithms By:Rina Dechter 2013-12-01 00:00:00
ISBN10:162705197X ISBN13:9781627051972
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 to perform many reasoning task Algorithms
Tags: algorithm model learning lecture machine synthesis intelligence artificial graphical reasoning probabilistic deterministic exact
Building Probabilistic Graphical Models with Python
Computer Science By:Kiran R Karkera 2014-05-25 00:00:00
ISBN10:1783289007 ISBN13:9781783289004
Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications Overview Stretch the limits of machine learning by learning how graphical models provide an insight on particular problems, especially in high dimension areas such as image proce graphical models, probabilistic graphical models, building probabilistic graphical, python libraries, field.building probabilistic graphical
Tags: model python graphical probabilistic
Modeling and Analysis of Dependable Systems: A Probabilistic Graphical Model Perspective
Computer Science By:Luigi Portinale 2015-07-24 00:00:00
ISBN10:9814612030 ISBN13:9789814612036
The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts a probabilistic graphical model, graphical model perspective, standard dependability formalisms, probabilistic graphical models, dependable systems
Tags: analysis system model perspective graphical probabilistic dependable
Learning Probabilistic Graphical Models in R
Computer Science By:David Bellot 2016-04-29 00:00:00
ISBN10:1784392057 ISBN13:9781784392055
Key Features Predict and use a probabilistic graphical models (PGM) as an expert system Comprehend how your computer can learn Bayesian modeling to solve real-world problems Know how to prepare data and feed the models by using the appropriate algorithms from the appropriate R package Book Descripti probabilistic graphical models, learning probabilistic graphical, powerful probabilistic model, bayesian linear regression, approximate inference algorithms
Tags: model learning graphical probabilistic
Semantics of Probabilistic Processes: An Operational Approach
Programming By:Yuxin Deng 2015-02-06 00:00:00
ISBN10:3662451972 ISBN13:9783662451977
This book discusses the semantic foundations of concurrent systems with nondeterministic and probabilistic behaviour. Particular attention is given to clarifying the relationship between testing and simulation semantics and characterising bisimulations from metric, logical, and algorithmic perspecti probabilistic concurrency theory, probabilistic processes, operational approach, probabilistic behaviour, semantic foundations
Practical Probabilistic Programming
Programming By:Avi Pfeffer 2016-05-01 00:00:00
ISBN10:1617292338 ISBN13:9781617292330
Data accumulated about customers, products, and website users can not only help interpret the past, it can help predict the future! Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By applying specialized algorithms, progra probabilistic programming, practical probabilistic programming, probabilistic models, campaign.practical probabilistic programming, social media usage
Tags: programming probabilistic
Building Probabilistic Graphical Models with Python
Programming By:Kiran R Karkera 2014-05-25 00:00:00
ISBN10:1783289007 ISBN13:9781783289004
Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications Overview Stretch the limits of machine learning by learning how graphical models provide an insight on particular problems, especially in high dimension areas such as image proce graphical models, probabilistic graphical models, building probabilistic graphical, field.building probabilistic graphical, python libraries
Tags: model python graphical probabilistic
Design and Analysis of Learning Classifier Systems: A Probabilistic Approach (Studies in Computational Intelligence)
Computer Science By:Jan Drugowitsch 2008-05-30 00:00:00
ISBN10:354079865X ISBN13:9783540798651
This book provides a comprehensive introduction to the design and analysis of Learning Classifier Systems (LCS) from the perspective of machine learning. LCS are a family of methods for handling unsupervised learning, supervised learning and sequential decision tasks by decomposing larger problem sp learning classifier systems, prominent xcs classifier, lcs algorithms, probabilistic model-based approach, probabilistic approach
Tags: design study analysis system computational approach learning intelligence probabilistic classifier
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)
Robotics By:Sebastian Thrun 2005-08-19 00:00:00
ISBN10:0262201623 ISBN13:9780262201629
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the re probabilistic robotics, autonomous agents series, real-world sensor data., detailed mathematical derivations, robotic software development
