1955 search results - page 223 / 391 » Online Multitask Learning |
118
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
141
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
111
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
128
Voted
ADC
2006
Springer
15 years 9 months ago
2006
Springer
This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which a...
128
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OHS
2001
Springer
15 years 8 months ago
2001
Springer
Developing adaptive internet based learning courses usually requires a lot of programming efforts to provide session management, keeping track of the learners current state, and ad...