Case-Based Reasoning by Michael M. Richter, Rosina Weber

By Michael M. Richter, Rosina Weber

-First English-language textbook at the topic
-Coauthor one of the pioneers of the subject
-Content completely class-tested, publication positive factors bankruptcy summaries, historical past notes, and workouts throughout

While it really is really effortless to checklist billions of studies in a database, the knowledge of a process isn't measured through the variety of its reviews yet fairly by way of its skill to use them. Case-based rea­soning (CBR) will be considered as adventure mining, with analogical reasoning utilized to problem–solution pairs. As instances are usually now not exact, easy garage and bear in mind of reviews isn't really enough, we needs to outline and learn similarity and variation. the basics of the technique at the moment are well-established, and there are various profitable advertisement functions in various fields, attracting curiosity from researchers throughout quite a few disciplines.

This textbook provides case-based reasoning in a scientific technique with objectives: to provide rigorous and officially legitimate buildings for detailed reasoning, and to illustrate the diversity of thoughts, equipment, and instruments to be had for lots of purposes. within the chapters partially I the authors current the fundamental components of CBR with out assuming earlier reader wisdom; half II explains the middle tools, in particu­lar case representations, similarity themes, retrieval, variation, overview, revisions, studying, develop­ment, and upkeep; half III deals complex perspectives of those themes, also masking uncertainty and chances; and half IV exhibits the diversity of data assets, with chapters on textual CBR, im­ages, sensor information and speech, conversational CBR, and data administration. The e-book concludes with appendices that supply brief descriptions of the fundamental formal definitions and strategies, and comparisons be­tween CBR and different techniques.

The authors draw on years of educating and coaching adventure in educational and company environments, and so they hire bankruptcy summaries, historical past notes, and workouts during the e-book. It's compatible for complex undergraduate and graduate scholars of computing device technological know-how, administration, and similar disciplines, and it's additionally a realistic advent and advisor for business researchers and practitioners engaged with wisdom engineering structures.

Show description

Read or Download Case-Based Reasoning PDF

Best artificial intelligence books

Predicting Structured Data (Neural Information Processing)

Computer studying develops clever desktops which are capable of generalize from formerly obvious examples. a brand new area of computer studying, during which the prediction needs to fulfill the extra constraints present in based facts, poses certainly one of laptop learning’s maximum demanding situations: studying sensible dependencies among arbitrary enter and output domain names.

Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications)

This quantity introduces desktop studying recommendations which are really strong and powerful for modeling multimedia facts and customary initiatives of multimedia content material research. It systematically covers key desktop studying thoughts in an intuitive style and demonstrates their functions via case reviews. insurance comprises examples of unsupervised studying, generative versions and discriminative types. additionally, the booklet examines greatest Margin Markov (M3) networks, which try to mix some great benefits of either the graphical versions and help Vector Machines (SVM).

Case-Based Reasoning

-First English-language textbook at the topic
-Coauthor one of the pioneers of the subject
-Content completely class-tested, ebook gains bankruptcy summaries, history notes, and workouts throughout

While it really is particularly effortless to list billions of reports in a database, the knowledge of a process isn't measured via the variety of its reports yet relatively by means of its skill to use them. Case-based rea­soning (CBR) should be considered as event mining, with analogical reasoning utilized to problem–solution pairs. As instances are usually no longer exact, easy garage and remember of stories isn't adequate, we needs to outline and study similarity and model. the basics of the technique at the moment are well-established, and there are lots of profitable advertisement purposes in different fields, attracting curiosity from researchers throughout a variety of disciplines.

This textbook provides case-based reasoning in a scientific strategy with pursuits: to offer rigorous and officially legitimate constructions for detailed reasoning, and to illustrate the variety of ideas, tools, and instruments on hand for plenty of purposes. within the chapters partially I the authors current the fundamental parts of CBR with out assuming earlier reader wisdom; half II explains the center equipment, in particu­lar case representations, similarity issues, retrieval, edition, overview, revisions, studying, develop­ment, and upkeep; half III deals complex perspectives of those themes, also protecting uncertainty and possibilities; and half IV exhibits the diversity of data assets, with chapters on textual CBR, im­ages, sensor information and speech, conversational CBR, and data administration. The e-book concludes with appendices that provide brief descriptions of the elemental formal definitions and strategies, and comparisons be­tween CBR and different techniques.

The authors draw on years of training and coaching event in educational and enterprise environments, they usually hire bankruptcy summaries, history notes, and workouts through the booklet. It's compatible for complicated undergraduate and graduate scholars of desktop technology, administration, and similar disciplines, and it's additionally a realistic creation and advisor for business researchers and practitioners engaged with wisdom engineering platforms.

Chaos: A Statistical Perspective

It used to be none except Henri Poincare who on the flip of the final century, regarded that initial-value sensitivity is a primary resource of random­ ness. For statisticians operating in the conventional statistical framework, the duty of severely assimilating randomness generated by way of a only de­ terministic method, often called chaos, is an highbrow problem.

Additional resources for Case-Based Reasoning

Example text

This includes similarity measures between random variables. We also discuss Bayesian reasoning. 4 Part IV: Complex Knowledge Sources Part IV focuses on areas within CBR that gather specific application types. These require individual chapters because they deal with complex knowledge sources. Text is difficult to understand, conversations are difficult to undertake; images and speech are hard to capture and represent; knowledge management is an organisational problem. This part is intended for both basic and advanced readers.

1 Chapter 22: Basic Formal Definitions and Methods This chapter provides formal foundations for several concepts and techniques discussed in Chap. 1. In particular, the terminology used in the book is given. The major topics are knowledge representation with an emphasis on logic, entropy, partial orderings, utility, and optimization. 2 Chapter 23: Relations and Comparisons with Other Techniques In this chapter we compare CBR with other system types. We distinguish three categories: systems in competition with CBR, systems that can cooperate with CBR, and the roots of CBR.

The purpose of these exercises is to provide suggestions so instructors can use them for teaching. These vary substantially in nature in order to make available exercises for students from different backgrounds. Furthermore, the exercises can sometimes expand to projects that are more ambitious. 6 References Chapters conclude with sections listing the references and bibliography. They are meant to be consulted as background and also as further reading. References Aamodt A, Plaza E (1994) Case-based reasoning: foundational issues, methodological variations, and system approaches.

Download PDF sample

Rated 4.72 of 5 – based on 6 votes