1864 search results - page 45 / 373 » Modeling Classification and Inference Learning |
103
Voted
ALT
2004
Springer
15 years 9 months ago
2004
Springer
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
121
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AAAI
2006
15 years 1 months ago
2006
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
117
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JMLR
2002
15 years 5 days ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
92
Voted
ECML
2007
Springer
15 years 4 months ago
2007
Springer
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
93
Voted
ESOP
2007
Springer
15 years 6 months ago
2007
Springer
When students first learn programming, they often rely on a simple operational model of a program’s behavior to explain how particular features work. Because such models build o...