5860 search results - page 98 / 1172 » Learning and Domain Adaptation |
153
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AIPS
2007
15 years 8 months ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
157
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
159
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
147
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CONTEXT
2001
Springer
15 years 10 months ago
2001
Springer
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
170
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ECTEL
2008
Springer
2008
Springer
Bridging the Gap between Practitioners and E-Learning Standards: A Domain-Specific Modeling Approach
15 years 8 months ago
Developing a learning design using IMS Learning Design (LD) is difficult for average practitioners because a high overhead of pedagogical knowledge and technical knowledge is requi...