Cantitate/Preț
Produs
Total produse
Vezi coșul
Case-Based Reasoning Research and Development: 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings de Ashok Goel

Case-Based Reasoning Research and Development: 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings: Lecture Notes in Computer Science, cartea 9969

Editat de Ashok Goel, M Belén Díaz-Agudo, Thomas Roth-Berghofer
en Limba Engleză Paperback – 29 sep 2016
This book constitutes the refereed proceedings of the 24th International Conference on Case-Based Reasoning Research and Development, ICCBR 2016, held in Atlanta, GA, USA, in October/November 2016.
The 14 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers cover a wide range of CBR topics that are of interest both to researchers and practitioners from foundations of Case-Based Reasoning; over CBR systems for specific tasks and related fields; up to CBR systems, applications and lessons learned in specific areas of expertise such as health; e-science; finance; energy, logistics, traffic; game/AI; cooking; diagnosis, technical support; as well as knowledge and experience management.

Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 32754 lei

Preț vechi: 40942 lei
-20% Nou

Puncte Express: 491
Preț estimativ în valută:
5798€ • 6751$ • 5063£

Carte tipărită la comandă

Livrare economică 21 ianuarie-04 februarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319470955
ISBN-10: 3319470957
Pagini: 442
Ilustrații: XI, 446 p. 123 illus.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.64 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Searching Museum Routes using CBR,- Comparative Evaluation of Rule-Based and Case-Based Retrieval Coordination for Search of Architectural Building Designs,- Case Representation and Similarity Assessment in the selfBACK Decision Support System,- Accessibility-driven cooking system,- Inferring Users' Critiquing Feedback on Recommendations from Eye Movements.- Eager to be lazy: Towards a Complexity-guided Textual Case-Based Reasoning System.- Personalized Opinion-based Recommendation.- Concept Discovery and Argument Bundles in the Experience Web.- Incorporating Transparency During Trust-Guided Behavior Adaptation.- Inferring Student Coding Goals Using Abstract Syntax Trees.- Combining CBR and Deep Learning to Generate Surprising Recipe Designs.- Qualitative Case-based Reasoning for Humanoid Robot Soccer: a new retrieval and reuse algorithm.- Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical features.- Similarity Metrics from Social Network Analysisfor Content Recommender Systems.- Analogical Transfer in RDFS, Application to Cocktail Name Adaptation.- Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression.- Applicability of Case-based Reasoning for Selection of Cyanide-free Gold Leaching Methods.- Competence Guided Casebase Maintenance for Compositional Adaptation Applications.- On the Transferability of Process-oriented Cases.- Case Completion of Workows for Process-Oriented Case-Based Reasoning.- Refinement-based Similarity Measures for Directed Labeled Graphs.- FEATURE-TAK - Framework for Extraction, Analysis, and Transformation of Unstructured Textual Aircraft Knowledge.- Knowledge Extraction and Annotation for Cross-Domain Textual Case Based Reasoning in Biologically Inspired Design.- Predicting the Electricity Consumption of Buildings: An Improved CBR Approach.- Case Representation and Retrieval Techniques for Neuroanatomical Connectivity Extraction from PubMed.- Compositional Adaptation of Explanations in Textual Case-based Reasoning.- Relevance Matrix Generation using Sensitivity Analysis in a Case-Based Reasoning Environment.- Combining Case-Based Reasoning and Reinforcement Learning for Tactical Unit Selection in Real-Time Strategy Game AI.

Caracteristici

Includes supplementary material: sn.pub/extras