The structure-mapping engine: algorithm and examples
Artificial Intelligence
Analogy-making as perception: a computer model
Analogy-making as perception: a computer model
Using statistical testing in the evaluation of retrieval experiments
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
ACM Computing Surveys (CSUR)
Machine Learning
Training Set Expansion in Handwritten Character Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Paradigmatic cascades: a linguistically sound model of pronunciation by analogy
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Guest Editors' Introduction to the Special Section on Syntactic and Structural Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating synthetic speech prosody with lazy learning in tree structures
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Learning by analogy: a classification rule for binary and nominal data
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Measuring semantic similarity by latent relational analysis
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Analogy, paralogy and reverse analogy: postulates and inferences
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Analogical learning using dissimilarity between tree-structures
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Logical proportions: typology and roadmap
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Analogy-Making for solving IQ tests: a logical view
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Trying to understand how analogical classifiers work
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
Analogical proportions and multiple-valued logics
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Hi-index | 0.00 |
This paper defines the notion of analogical dissimilarity between four objects, with a special focus on objects structured as sequences. Firstly, it studies the case where the four objects have a null analogical dissimilarity, i.e. are in analogical proportion. Secondly, when one of these objects is unknown, it gives algorithms to compute it. Thirdly, it tackles the problem of defining analogical dissimilarity, which is a measure of how far four objects are from being in analogical proportion. In particular, when objects are sequences, it gives a definition and an algorithm based on an optimal alignment of the four sequences. It gives also learning algorithms, i.e. methods to find the triple of objects in a learning sample which has the least analogical dissimilarity with a given object. Two practical experiments are described: the first is a classification problem on benchmarks of binary and nominal data, the second shows how the generation of sequences by solving analogical equations enables a handwritten character recognition system to rapidly be adapted to a new writer.