219 search results - page 25 / 44 » Requirement error abstraction and classification: an empiric... |
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ALDT
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
CLEIEJ
2002
14 years 11 months ago
2002
Advances in parallel computation are of central importance to Artificial Intelligence due to the significant amount of time and space their programs require. Functional languages ...
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CORR
2011
Springer
14 years 3 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
JIFS
2008
14 years 11 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
ICMCS
2007
IEEE
15 years 5 months ago
2007
IEEE
We present a case study of developing a digital media indexing application, code-named MARVEL, on the STI Cell Broadband Engine (CBE) processor. There are two aspects of the targe...