Overview of Maximum Marginal Relevance (MMR) and examples of algorithms and implementations
Overview of Maximum Marginal Relevance (MMR)
Maximum Marginal Relevance (MMR) is one of the ranking methods fo...
Web Reasoning and Rule Systems
Web Reasoning and Rule Systems
Web Reasoning and Rule Systems
This book is the refereed proceedings o...
Emotions, the autonomic nervous system and the ‘regulating’ effect
Emotions and the autonomic nervous system
The topic of how to deal with emotions (vexations) is an important elem...
Overview of the Value Gradient Method and Examples of Algorithms and Implementations
Overview of Value Gradient Method
Value Gradients is a method used in the context of reinforcement learning...
Overview of HIN2Vec-GAN and examples of algorithms and implementations
Overview of HIN2Vec-GAN
HIN2Vec-GAN is one of the techniques used to learn relationships on graphs, and sp...
Overview of Sample-Based MPC (Sample-Based MPC) and examples of algorithms and implementations
Sample-Based MPC (Sample-Based MPC) Overview
Sample-Based Model Predictive Control (Sample-Based MPC) is a ty...
Overview of causal inference using Meta-Learners and examples of algorithms and implementations
Overview of causal inference using Meta-Learners
Causal inference using Meta-Learners is one way to ...
Overview of Predictive Control with Constraints and examples of algorithms and implementations.
Overview of Predictive Control with Constraints
Predictive Control with Constraints (Predictive Control) will ...
Rule Based Reasoning , Programming and Applications
Rule Based Reasoning , Programming and Applications
Rule Based Reasoning , Programming and Applications
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Probability, uncertainty and randomness
Probability.
Probability is a quantification of the degree to which an event is likely to occur; specifica...