Sentence examples for model adaption from inspiring English sources
Additionally, the variance model adaption is especially important for improving the recognition performance in the heavily noisy conditions.
The integration of predictive control with experiment design enables enhancing the information content of closed-loop data for online model adaption.
It consists of chance-constrained programming (CCP) models, risk scenario analysis using the Taguchi method, risk cost tradeoff and feedback for model adaption.
In most cases, the acoustic model adaption is focused on the mean vectors and covariance matrices of the acoustic models in the speech recognizer due to their dominant effectiveness compared with other model parameters [1, 2].
Moreover, the non-stationary music-like residual noise after MMSE processing can be regarded as additive and stationary noise approximately, which ensures that some simplified model adaption method [14].
Some examples of backend approaches are Parallel Model Combination (PMC) [5] and model adaption algorithms, such as Maximum Likelihood Linear Regression (MLLR) [6] and Maximum A Posterior probability (MAP) based adaptation [7].
The reasons are many - restrictive funding models, adaption of technology to sometimes challenging environments, the lack of readily apparent sustainable program models - but these are questions we must address if today's NGOs are to adapt effectively.
Furthermore, the system utilizes the Pfafstetter numbering scheme to represent the digital watershed model; the adaption of this topological classification of a basin with respect to NewAge is explained in this paper.
It uses a global adaption model based on Hunt's static model of color vision and uses the retina response signals for rods for calculating the luminance information and the response vector for color information.
Our adaption model combined the reliable general DBN with a volatile feature specific HMM for long delays.
In both Sheikh et al. 's original Hardware Software model and our adaption, it is theorized that values and norms play an important role in health system performance.
