Category:LNCS 1010
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Lecture Notes in Computer Science, Volume 1010
Articles in category "LNCS 1010"
There are 51 articles in this category.
'
''Fish and sink'': An anytime-algorithm to retrieve adequate cases
A
A case based method for solving relatively stable dynamic constraint satisfaction problems
A case-based approach for developing writing tools aimed at non-native English users
A case-based reasoner adaptive to different cognitive tasks
A connectionist indexing approach for CBR systems
A memory-based hierarchical planner
ADAPtER: An integrated diagnostic system combining case-based and abductive reasoning
Adaptation using constraint satisfaction techniques
An average-case analysis of k-nearest neighbor classifier
An investigation of marker-passing algorithms for analogue retrieval
C
CBR and machine learning for combustion system design
Case adaptation using an incomplete causal model
Case memory and retrieval based on the immune system
Case-based diagnosis of multiple faults
Case-based reasoning for cash flow forecasting using fuzzy retrieval
Case-based reasoning for expertise relocation in support of rural health workers in developing countries
Cases as terms: A feature term approach to the structured representation of cases
C cont.
Cost estimation of software projects through case base reasoning
D
DOM-ArC: An active decision support system for quality assessment of cases
E
Evaluating the application of CBR in mesh design for simulation problems
Experiments on adaptation-guided retrieval in case-based design
I
INRECA: A seamlessly integrated system based on inductive inference and case-based reasoning
Integrating case-based reasoning and tabu search for solving optimisation problems
Integrating rules and cases for the classification task
Integration of case based retrieval with a relational database system in aircraft technical support
K
KBS maintenance as learning two-tiered domain representation
Knowledge engineering for CBR systems from a cognitive science perspective
L
Large-scale fault diagnosis for on-board train systems
Learning a local similarity metric for case-based reasoning
Learning strategies for explanation patterns: Basic game patterns with applications to chess
Learning to improve case adaptation by introspective reasoning and CBR
Learning to refine indexing by introspective reasoning
M
MacRad: Radiology image resource with a case-based retrieval system
O
On the automatic generation of case libraries by chunking chess games
On the use of CBR in optimisation problems such as the TSP
O cont.
Operator decision aiding by adaptation of supervision strategies
P
PROFIL: A decision support tool for metallic sections design using a CBR approach
Problem solving with ''The incredible machine'': An experiment in case-based reasoning
R
Reasoning with reasons in case-based comparisons
Representing and indexing building refurbishment cases for multiple retrieval of adaptable pieces of cases
Retrieving cases in structured domains by using goal dependencies
Reuse of knowledge: Empirical studies
Route planning by analogy
S
Separating the cases from the data: Towards more flexible case-based reasoning
Some limitations of feature-based recognition in case-based design
Systems, tasks and adaptation knowledge: Revealing some revealing dependencies
T
Towards the integration of case-based, schema-based and model-based reasoning for supporting complex design tasks
Towards using a single uniform metric in instance-based learning
U
Using a neural network to learn general knowledge in a case-based system
Using case data to improve on rule-based function approximation
W
Weighting features
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