285 search results - page 36 / 57 » Learning adaptation knowledge to improve case-based reasonin... |
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
PR
2006
13 years 7 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
OTM
2005
Springer
14 years 27 days ago
2005
Springer
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...