All details of the access methods are hidden to the user and optimized behind the scenes.
For the speech recognition problem, some common methods are hidden Markov models (HMM) [7, 8], neural network [9, 10], dynamic time wrapping [11], deep neural network (DNN) acoustic models [12, 13].
For example, one high-rate area (M9R) that was evident on the non-smoothed SIR map and subsequently detected by both local cluster detection methods, was hidden by the smoothing process.
By far, the most successful methods are hidden Markov models (HMMs), e.g. in gene finding (Lukashin and Borodovsky, 1998; Stanke and Waack, 2003), and string kernels with support vector machines (SVM), e.g. in protein classification (Leslie et al., 2004), transcription start-site recognition (Sonnenburg et al., 2006) and splice-site prediction (Sonnenburg et al., 2007).
These methods are called atomic methods as their implementation is hidden from the user and realized by standard programming languages.
4. Distinguishing "trunk" vs. "non-trunk" branches is fundamental to much of the paper's analysis, but is not explained prominently (the definition is hidden in the Methods).
This method is best to use if the nest is hidden or inaccessible.
We hide the associations in one group and run the methods on the remaining associations, repeating three times to ensure that each group is hidden exactly once.
In each loop, we hide a microRNA-disease association in the known association group and run KATZ and CATAPULT methods on the remaining associations repeating 242 times to ensure that each known microRNA-disease association is hidden exactly once.
One method they adopted is hiding vaccine carriers in polythene bags… putting the vaccine in between luggage so as to hide it from anyone watching them.
