Sciweavers

120 search results - page 3 / 24
» Transfer Learning by Structural Analogy
Sort
View
AAAI
2006
13 years 7 months ago
Cross-Domain Knowledge Transfer Using Structured Representations
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
Samarth Swarup, Sylvian R. Ray
DIS
2010
Springer
13 years 4 months ago
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships
Quantitative structure-activity relationships (QSARs) are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologi...
Ulrich Rückert, Tobias Girschick, Fabian Buch...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 6 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 4 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
ECML
1991
Springer
13 years 9 months ago
Learning by Analogical Replay in PRODIGY: First Results
Robust reasoning requires learning from problem solving episodes. Past experience must be compiled to provide adaptation to new contingencies and intelligent modification of solut...
Manuela M. Veloso, Jaime G. Carbonell