406 search results - page 16 / 82 » Toward a Value Framework for Online Learning Systems |
IJCAI
2001
13 years 8 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
MIR
2005
ACM
14 years 28 days ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
ECTEL
2006
Springer
13 years 11 months ago
2006
Springer
Virtual learning communities bring together people from diverse backgrounds and provide the basis for knowledge construction and sharing. Important processes for the community to f...
EMNLP
2008
13 years 8 months ago
2008
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratings in such systems has been recognized as an important but difficult problem. T...