3624 search results - page 10 / 725 » Learning to learn: From smart machines to intelligent machin... |
AIME
1997
Springer
14 years 1 months ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
ICMAS
1998
13 years 10 months ago
1998
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
INTENV
2010
13 years 3 months ago
2010
In the past decade, smart home environment research has found application in many areas, such as activity recognition, visualization, and automation. However, less attention has be...
AI
2010
Springer
14 years 1 months ago
2010
Springer
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
TSD
2010
Springer
13 years 6 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...