|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-319-47096-2 |
003 |
DE-He213 |
005 |
20221012205929.0 |
007 |
cr nn 008mamaa |
008 |
160928s2016 sz | s |||| 0|eng d |
020 |
|
|
|a 9783319470962
|9 978-3-319-47096-2
|
024 |
7 |
|
|a 10.1007/978-3-319-47096-2
|2 doi
|
050 |
|
4 |
|a Q334-342
|
050 |
|
4 |
|a TA347.A78
|
072 |
|
7 |
|a UYQ
|2 bicssc
|
072 |
|
7 |
|a COM004000
|2 bisacsh
|
072 |
|
7 |
|a UYQ
|2 thema
|
082 |
0 |
4 |
|a 006.3
|2 23
|
245 |
1 |
0 |
|a Case-Based Reasoning Research and Development
|h [electronic resource] :
|b 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings /
|c edited by Ashok Goel, M Belén Díaz-Agudo, Thomas Roth-Berghofer.
|
250 |
|
|
|a 1st ed. 2016.
|
264 |
|
1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
|
300 |
|
|
|a XI, 446 p. 123 illus.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 9969
|
505 |
0 |
|
|a 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 Analysis for 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.
|
520 |
|
|
|a 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.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Information storage and retrieval systems.
|
650 |
|
0 |
|a Data mining.
|
650 |
|
0 |
|a Application software.
|
650 |
|
0 |
|a User interfaces (Computer systems).
|
650 |
|
0 |
|a Human-computer interaction.
|
650 |
|
0 |
|a Computer networks .
|
650 |
1 |
4 |
|a Artificial Intelligence.
|
650 |
2 |
4 |
|a Information Storage and Retrieval.
|
650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|
650 |
2 |
4 |
|a Computer and Information Systems Applications.
|
650 |
2 |
4 |
|a User Interfaces and Human Computer Interaction.
|
650 |
2 |
4 |
|a Computer Communication Networks.
|
700 |
1 |
|
|a Goel, Ashok.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Díaz-Agudo, M Belén.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Roth-Berghofer, Thomas.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783319470955
|
776 |
0 |
8 |
|i Printed edition:
|z 9783319470979
|
830 |
|
0 |
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 9969
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-319-47096-2
|z Texto Completo
|
912 |
|
|
|a ZDB-2-SCS
|
912 |
|
|
|a ZDB-2-SXCS
|
912 |
|
|
|a ZDB-2-LNC
|
950 |
|
|
|a Computer Science (SpringerNature-11645)
|
950 |
|
|
|a Computer Science (R0) (SpringerNature-43710)
|