1323 search results - page 66 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
COMPSAC
2007
IEEE
15 years 4 months ago
2007
IEEE
Although many of the software engineering activities can now be model-supported, the model is often missing in software development. We are interested in retrieving statemachine m...
CBMS
2006
IEEE
15 years 3 months ago
2006
IEEE
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
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JCP
2008
14 years 9 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
IJCAI
2003
14 years 11 months ago
2003
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...