567 search results - page 60 / 114 » Learning All Subfunctions of a Function |
119
Voted
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
121
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AH
2008
Springer
15 years 6 months ago
2008
Springer
The focus of my thesis is on the development of a multi-method framework for the validation of formal models (domain model, user model, and teaching model) for adaptive work-integr...
104
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ACL
1994
15 years 1 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
ML
2008
ACM
15 years 12 days ago
2008
ACM
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
164
Voted
AII
1992
15 years 4 months ago
1992
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...