From machine learning to machine reasoning

From machine learning to machine reasoning An essay

A plausible definition of “reasoning” could be “algebraically manipulating previously acquired knowledge in order to answer a new question”. This definition covers firstorder logical inference or probabilistic inference. It also includes much simpler manipulations commonly used to build large learning systems. For instance, we can build an optical character recognition system by first training ...

Introduction to Machine Learning & Case-Based Reasoning

Prologue These notes refer to the course of Machine Learning (course 395), Computing Department, Imperial College London. The goal of this syllabus is to summarize the basics of machine learning and to provide a detailed explanation of case-based reasoning. This chapter introduces the term " machine learning " and defines what do we mean while using this term. This is a very short summary of th...

Bayesian reasoning and machine learning

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities...

Machine Learning for Automated Reasoning

Nonmonotonic Reasoning, Argumentation and Machine Learning

Machine learning and nonmonotonic reasoning are closely related, both concerned with making plausible as well as certain inferences based on available data. In this document a brief overview of diierent approaches to nonmonotonic reasoning is presented , and it is shown how the concept of argumentation systems arises. The relationship with machine learning work is also discussed. The document a...