5860 search results - page 347 / 1172 » Learning and Domain Adaptation |
158
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ICML
2008
IEEE
16 years 7 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 ...
138
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UM
2007
Springer
16 years 24 days ago
2007
Springer
There has been increasing interest in using games for education, but little investigation of how to model student learning within games [cf. 6]. We investigate how existing techniq...
186
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HIS
2004
15 years 8 months ago
2004
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
188
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ICALT
2009
IEEE
15 years 4 months ago
2009
IEEE
Eye-tracking measurements may be used as a method of identifying users' actual behavior in a hypermedia setting. In this research, an eye-tracking experiment was conducted in...
139
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ICCBSS
2004
Springer
16 years 2 days ago
2004
Springer
This paper presents the twelve most significant lessons the CeBASE community has learned across a wide variety of projects, domains, and organizations about COTS-Based Systems (CBS...