2820 search results - page 92 / 564 » Learning from Scarce Experience |
102
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MANSCI
2011
14 years 6 months ago
2011
This article develops a method for drawing samples from which it is impossible to infer any quantile or moment of the underlying distribution. The method provides researchers with...
128
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JMLR
2012
13 years 2 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
EUROSPI
2007
Springer
15 years 6 months ago
2007
Springer
A central issue in knowledge management and software process improvement is to learn from experience. In software engineering, most experience is gathered in projects, which makes ...
IJCAI
2003
15 years 1 months ago
2003
Minesweeper is a one-person game which looks deceptively easy to play, but where average human performance is far from optimal. Playing the game requires logical, arithmetic and p...
109
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ICRA
2008
IEEE
15 years 6 months ago
2008
IEEE
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...