Case-based reasoning : experiences, lessons & future by David Leake

By David Leake

Case-based reasoning (CBR) is a flourishing paradigm for reasoning and studying in man made intelligence, with significant learn efforts and burgeoning functions extending the frontiers of the field.This booklet offers an creation for college kids in addition to an up to date review for knowledgeable researchers and practitioners. It examines the sphere in a ''case-based'' means, via concrete examples of ways key concerns -- together with indexing and retrieval, case model, review, and alertness of CBR tools -- are being addressed within the context of various projects and domain names. Complementing those case experiences are commentaries via top researchers at the classes discovered from studies with CBR and visions for the jobs within which case-based reasoning may have the best impact.A instructional creation via Janet Kolodner, one of many originators of CBR, and David Leake makes the e-book available to scholars and builders commencing to follow case-based reasoning. the quantity may also function an appropriate spouse for a CBR or introductory AI textbook.

Show description

Read or Download Case-based reasoning : experiences, lessons & future directions PDF

Best intelligence & semantics books

Natural language understanding

This long-awaited revision bargains a accomplished advent to average language figuring out with advancements and examine within the box this day. development at the powerful framework of the 1st version, the hot version supplies an analogous balanced assurance of syntax, semantics, and discourse, and gives a uniform framework in response to feature-based context-free grammars and chart parsers used for syntactic and semantic processing.

Introduction to semi-supervised learning

Semi-supervised studying is a studying paradigm focused on the examine of the way desktops and typical platforms comparable to people examine within the presence of either categorised and unlabeled info. usually, studying has been studied both within the unsupervised paradigm (e. g. , clustering, outlier detection) the place all of the information is unlabeled, or within the supervised paradigm (e.

Recent Advances in Reinforcement Learning

Contemporary Advances in Reinforcement studying addresses present learn in a thrilling sector that's gaining loads of reputation within the man made Intelligence and Neural community groups. Reinforcement studying has turn into a prime paradigm of computing device studying. It applies to difficulties during which an agent (such as a robotic, a method controller, or an information-retrieval engine) has to profit how you can behave given purely information regarding the good fortune of its present activities.

Approximation Methods for Efficient Learning of Bayesian Networks

This ebook deals and investigates effective Monte Carlo simulation tools so one can detect a Bayesian method of approximate studying of Bayesian networks from either entire and incomplete information. for giant quantities of incomplete information whilst Monte Carlo equipment are inefficient, approximations are applied, such that studying is still possible, albeit non-Bayesian.

Additional info for Case-based reasoning : experiences, lessons & future directions

Sample text

Operations Research, 1987, 35(1):58-69. [8] Ho J K. A Successive Linear Optimization Approach to The Dynamic Ttraffic Assignment Problem[J]. Transportation Science, 1980, 14(4):295-305. com Keywords: freeway; one-way-closure; work zone; traffic characteristic; traffic conflict. Abstract. By analyzing the traffic characteristics and traffic conflicts of the typical one-way-closure work zone on four-lane freeways, the queuing characteristics of vehicles are determined, and the Erlang distribution model which can describe the distribution of time headway is calibrated.

Shiftan, The impact of fare integration on travel behavior and transit ridership, Transport Policy. 21 (2012) 63-70. [13] W. Cox, B. Duthion, Competition in urban public transport: A world view. 2001, Presented to the 7th International Conference on Competition and Ownership in Land Passenger Transport (Thredbo 7) Molde, Norway, June 2001. [14] H. Fox, Review of urban public transport competition (draft final report), Department for International Development. May 2000. Halcrow Group Limited 2000.

13] WU Bing, YANG Pei-kun. Forecasting the Risk of Traffic Accident during Highway Maintenance. Chinese Journal of Ergonomics, 1 (1995) 32-34. [14] SU Zhi-qiang. Analysis of Freeway Work Zone Safety. Computer and Communications, 26 (2008) 40-43. cn Keywords: Evacuation Planning; Dynamic Traffic Assignment; Cell Transmission Model; Crossing Elimination Abstract. This paper presents a dynamic evacuation network optimization problem that incorporates crossing elimination strategy. Bottleneck problem at intersections during evacuation process is analyzed for the effective evacuation planning.

Download PDF sample

Rated 4.26 of 5 – based on 43 votes