1991 search results - page 97 / 399 » Small Models of Large Machines |
ICALT
2003
IEEE
15 years 3 months ago
2003
IEEE
Since the approval of IEEE LOM Draft Standard and the advance of network-driven learning technology, a large number of resource database constructors, content developers and learn...
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
ICALT
2009
IEEE
15 years 4 months ago
2009
IEEE
A crucial challenge for improving EMLs is to provide an intuitive notation to support educational practitioners to not only understand, but also describe a large number of flexibl...
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KESAMSTA
2011
Springer
14 years 23 days ago
2011
Springer
Creating modular behaviours in JADE using a traditional method such as the FSM (Finite State Machine) can be a difficult task to achieve. The first issue with FSMs is that they do...