184 search results - page 19 / 37 » MACE - Enriching Architectural Learning Objects for Experien... |
89
Voted
ICPR
2008
IEEE
16 years 29 days ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
105
click to vote
MOMPES
2009
IEEE
15 years 6 months ago
2009
IEEE
For embedded systems quality requirements are equally if not even more important than functional requirements. The foundation for the fulfillment of these quality requirements ha...
102
click to vote
CORR
2010
Springer
14 years 6 months ago
2010
Springer
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
CAINE
2001
15 years 1 months ago
2001
Distance learning gives benefits for training organization, which are further enhanced by using new information and communication technology. Computerbased tools provide a solutio...
123
click to vote
MMB
2012
Springer
13 years 7 months ago
2012
Springer
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...